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18:04 MapGuide tidbits: Maximizing .net code reuseThe Map Guy(de)
sur Planet Geospatial - http://planetgs.comCode reuse is always a good thing. If you use the .net MapGuide API, you may want to consider some options that can enhance re-usability of your code.
For those who don't know, the MapGuide API is an extension of a common subset known as the Geospatial Platform API. AutoCAD Map3D extends this subset to integrate with AutoCAD Map3D, MapGuide extends this common subset to support web applications and mg-desktop extends this subset to give you a portable MapGuide environment for your desktop applications.
As you can see from the diagram there are key abstract classes in the Geospatial Platform API that are derived by the various implementations (bolded for emphasis). It just so happens that these classes are the key classes for working with maps and layers and the rest of the API through service classes.
By writing your .net code to work against the abstract classes in the Geospatial Platform API, you get to maximize its reuse against the various extensions of this common subset. For example, have your code:- Work against MgMapBase instead of MgMap, MgdMap or AcMapMap
- Work against MgLayerBase instead of MgLayer, MgdLayer or AcMapLayer
- Work against MgResourceService instead of AcMapResourceService or MgdResourceService
Writing code this way makes the code more amenable to easy manual dependency injection, with your MapGuide, mg-desktop or AutoCAD Map3D specific code doing the actual injecting, but the dependency injectee not having to care because it works against the abstract class and not the concrete implementations, thus allowing this injectee code to be re-used anywhere that can provide a concrete implementation of the class.
Of course, each extension of the common subset has their own implementation quirks. AutoCAD Map3D has some, mg-desktop has some too. But if such quirks do not affect you, then this coding strategy is something to consider if you want to re-use such code beyond MapGuide web applications. -
17:57 Keynote speakers announcement. Part IIIFOSS4G-CEE 2013
sur Planet Geospatial - http://planetgs.comFOSS4G-CEE aces up the sleeve. Part III
Yes, today is the day. Today, we shed light on our complete list of keynote speakers. In the previous weeks, we warmly welcomed: Schuyler Erle, Maria Antonia Brovelli, Dirk Frigne, Jeff McKenna, Paul C. Smits, Jáchym Čepický.
Today, the floor belongs to:
- Markus Neteler , founding-member of the Open Source Geospatial Foundation, now head of the GIS and Remote Sensing unit at the Research and Innovation Centre of the Fondazione Edmund Mach, Trento, Italy, author/co-author of several books and chapters on GRASS and various papers on GIS applications.
- Alyssa Wright, Vice President and Director of Solutions at OpenGeo, overseeing all client work for the OpenGeo Suite, OpenGeo’s comprehensive open source-based web mapping platform.
- Radu Puchiu, State Secretary in the Government of Romania, former State Counsellor to the Prime Minister, in charge of the transformation of Government online services.
We are very excited to disclose our complete keynote speakers list and we are honoured and proud that all these exceptional people have happily agreed to be part of FOSS4G-CEE 2013.
For more details, go here.
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17:11 Another lab experimentThe Map Guy(de)
sur Planet Geospatial - http://planetgs.com
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16:30
Seatlle's Buses Live on Google Maps
sur Google Maps Mania
First there was the SF Live Bus map, then came the PDX Live Map (for Portland), now Seattle has its own animated live real-time map of its Metro Transit network.
Busdrone uses Google Maps to show the real-time location of Seattle's buses. Load up the map, sit back and watch as little blue markers navigate Seattle's streets. Hypnotic!
If you want to create one of these maps for your own city's bus network all you need is a timetable and a little peak at the code on GitHub.
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16:05 Keeping Moms inReach for Mother’s Day!The DeLorme Weblog
sur Planet Geospatial - http://planetgs.comWith Mother’s Day coming up this weekend I thought I’d take a moment to share a little bit about my own mom, how she sparked my passion for the outdoors, and how we use the inReach to stay connected when I’m in the backcountry on an adventure.
I think it all started when my parents were State Park managers here in Maine. My sister and I grew up spending our summers at the parks, in places like Sebago Lake and Range Pond. Our family vacations always took place during the off season when the rest of the park visitors had gone home. It was great having the trails to ourselves although I was much older before I realized that most people wear bathing suits at the beach instead of pants and long sleeve shirts!
The picture below was taken at Bar Harbor in Acadia National Park, one of my mom’s favorite places. Our family still goes there each summer to camp at Lamoine State Park. I was two at the time of this photo and I’ve been told that during a brief moment of freedom I ran headlong into the ocean in full fall attire. I imagine this was the start of my mother’s concerns about my decision making abilities and why the inReach has become a valuable tool for her to check in and make sure I’m not doing something foolish…

My parents were teachers during the school year and led interpretive programs at their parks during the summer. My time in the outdoors was spent on nature walks and canoe trips, poking around in tide pools and climbing fire towers on the tops of mountains. I was very fortunate to have a mom who taught us to be stewards of our natural spaces. She shared her enthusiasm for the outdoors with her children and with all of the kids that she met at her State Parks over the years. To this day I hear her “leave no trace” reminders when I’m on the trail and see a bit of litter that needs to be carried out.
Fast forward a few years and flip back through the DeLorme blog a few pages and you’ll see how my mom’s influence on that two year old in the picture above has steered me to a career that, while more in the technology world – my dad was a science teacher after all, helps people explore the great outdoors while staying safe and connected, knowing where they are and being able to share their experiences with their friends and family. As you all know, I just came back from the Backpacker Climb for a Cause event raising money to send urban teens on wilderness outings. Next week I’m headed to Colorado to speak about GPS and Satellite Communication technology at the Sierra Club Leadership Outing. While I’m not as directly involved in the protection of our natural resources as my mom was, I like to think that here at DeLorme we encourage people to get outside and enjoy their time in the great outdoors.

Photo courtesy of Jon Dorn – Backpacker MagazineWhich brings us to the inReach… remember that two year old that ran headlong into the ocean? Well, I’m older now but through amazing opportunities provided by DeLorme I still manage to find myself in situations that make my mother a little nervous. The photo above was taken at the bottom of the first rope section on Mt Whitney (framed in the background) at 12,300 feet. My mom was following along on the map and sending the occasional message to see how I was doing. It was a special event for me, knowing that my family and friends were with me as I climbed. This was an experience echoed by many of the people on the Mt Whitney team who were also sharing their tracks and messages via the inReach.
So as I reflect on the different ways that my mom has helped to make me the man I am today I encourage you to do the same… and consider how you stay connected with her at Mother’s Day and with the rest of your family and friends when you strike off on your own adventures. Consider DeLorme’s inReach and inReach SE, the proven communication tool of my mom and her forever-two year old running headlong into adventures whenever he can find them.
…and one last picture taken on my mom’s last day as manager of Range Pond State Park, used as her retirement invitation. A final walk in the park with her son after 30 years of service. Well done mom, well done!

Happy Mother’s Day to you Mom, and to the rest of the mothers out there on this special weekend!
Take care,
Chip Noble
Team DeLorme
Filed under: Fun Stuff, inReach Tagged: DeLorme, inReach, Mother's Day
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14:30
Pop Culture on Google Maps
sur Google Maps Mania
Popturf is a Google Map of important locations in popular culture. It can help you find out where your favorite movies or television shows were shot, where music history was made and even where your favorite books were set.
You can view all the Popturf locations on one Google Map or view individual maps showing you locations in Movies, Music, Television, Literature, Comic Books, Video Games, Technology, Art & Design and History.
Registered users can contribute to the Popturf map by adding new locations.
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14:00 Landsat Timelapse4253 » geospatial
sur Planet Geospatial - http://planetgs.comI found out about this TIMELAPSE Project today by TIME and Google. And as a map geek and a Landsat fanboi, I find this gem a very good time waster. […]
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11:35
Spanish Events on Google Maps
sur Google Maps Mania
Planocio Eventos is a really well designed Spanish events map. My Spanish is terrible, so it is a testament to how well designed Planocio is that I had no trouble finding the categories of events and specific dates that I was interested in using the map's intuitive interface.
Users of the map can quickly find out what events are happening on a particular day by selecting a date from the left hand panel. All the events occurring on that date are then displayed on a Google Map and appear in the event listings panel.
Users can filter the events by category by selecting from the blue map marker menu that is placed to the left of the map. The user can change what week's events are displayed by clicking on the up and down arrows in the date side panel. The breadcrumb links above the map allow the user to find events by month and even by season. It really is a well thought out map.
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11:18 Foursquare’s New Feature Shares “Streaks” to Encourage More Check-ins
sur All Points BlogAn old feature of Foursquare that appeals to the datanerd in many tech users pops up information about location based behavior at check-in. So, after a few days of checking in at work you might learn it's the longest streak you've had of a daily check-in. This week, Foursquare upped the... Continue reading
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11:18 Foursquare’s New Feature Shares “Streaks” to Encourage More Check-insAll Points Blog
sur Planet Geospatial - http://planetgs.comAn old feature of Foursquare that appeals to the datanerd in many tech users pops up information about location based behavior at check-in. So, after a few days of checking in at work you might learn it's the longest streak you've had of a daily check-in. This week, Foursquare upped the... Continue reading
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10:44 Google Glass Navigation Review
sur All Points BlogGlass Navigation is pretty darn great. It prevents fumbling with devices and, unlike phones and some dedicated navigation devices, doesn’t require you take your eyes completely off the road in order to properly navigate. There are some obvious bugs to fix, but with a beta product... Continue reading
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10:44 Google Glass Navigation ReviewAll Points Blog
sur Planet Geospatial - http://planetgs.comGlass Navigation is pretty darn great. It prevents fumbling with devices and, unlike phones and some dedicated navigation devices, doesn’t require you take your eyes completely off the road in order to properly navigate. There are some obvious bugs to fix, but with a beta product... Continue reading
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10:16 Shrewbot Maps with its Whiskers
sur All Points BlogIf you only come out at night, or if you live in a hole, vision is perhaps not the best solution for you, and a robot modeled after a shrew can now make maps using just tactile feedback from a prodigious set of artificial whiskers. The Shrewbot ismodeled after the Etruscan pygmy... Continue reading
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10:16 Shrewbot Maps with its WhiskersAll Points Blog
sur Planet Geospatial - http://planetgs.comIf you only come out at night, or if you live in a hole, vision is perhaps not the best solution for you, and a robot modeled after a shrew can now make maps using just tactile feedback from a prodigious set of artificial whiskers. The Shrewbot ismodeled after the Etruscan pygmy... Continue reading -
4:45 Willamette River Historical Stream Channels PosterDon Meltz » Blog
sur Planet Geospatial - http://planetgs.com
Willamette Stream Channels Poster
Today’s MOTD is something that was going around the Twitter-sphere a few weeks ago. I put a link to it on my desktop, and re-found it tonight while organizing my files. Even though it’s not brand new, it is special enough to be noted here.
It is a spectacular piece of cartographic artwork. It’s so unique it almost doesn’t look like a map, but that is exactly what is is.
As the publication website says, this is a lidar derived digital elevation model of the Willamette River. Lidar (light-radar) is a technology that uses light to measure distances, and can be used to produce 3D images of the earths surface (i.e. a digital elevation model)
Basically, this is a topographic map. The brightest white areas are the lowest elevations, which are the existing stream channels. Older, historic stream channels show up as depressions in the landscape, shown in various shades of light-blue.
For more information about how this map was made, and to purchase a 17″ x 38″ poster, visit the Oregon Department of Geology and Mineral Resources website.
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1:47
The National Medicare Map
sur Google Maps Mania
The New York Times has published an interesting Medicare Map that shows how much different hospitals charge Medicare throughout the country for the same treatment.
The map compares the charges made at 3,300 hospitals nationwide for the 100 most commonly performed treatments and procedures. The colored markers on the map show whether individual hospitals charged less than the average (blue markers), 1 to 2 times the average (yellow) or twice the national average (red).
Users can click on individual hospitals to view how much they charged Medicare in five common types of case and across a range of other types of medical case.
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23:33 The Map Myth of Sandy IslandGIS Lounge
sur Planet Geospatial - http://planetgs.comSandy Island has long appeared on maps and in GIS data. A research vessel in 2012 visit the supposed site of Sandy Island and discovered wide open ocean. How did this map myth originate?
The post The Map Myth of Sandy Island appeared first on GIS Lounge.
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23:09 The OGC is Stuck in 1999Geo-preneur
sur Planet Geospatial - http://planetgs.comAll these new OGC standards are sadly designed like it is still 1999.
If you don’t like ramblings, then here is the TL;DR for you:
TL;DR OGC Standards should be written for the future, not the present nor the past
I have to get something out of my chest. Yes, it is triggered by the current discussions about accepting GeoServices REST API as an OGC standard.
The current focus of the discussion, at the core, is around the issue that the GeoServices REST API is perceived as a set of competing standards (i.e redundant to the WFS/WMS/WCS/etc specs) that don’t have an open (read open source) reference implementation that any organization can refer to when trying to implement the standard.
To me, this discussion is more about politics (which I do agree is a valid topic to discuss) than about the reality of the standards that do come out of the OGC lately.
Reading any of the documents from the OGC make me feel like I am listening to Prince (before!) 1999.
Seriously.
Standards should be written for the future – not the presentI remember several years back when HTML5 was the hot new thing. The standards were being worked on a lot, but most of the browsers did not support any of the features from HTML5. The table at caniuse.com (a place where you could go to see what HTML5 features were implemented by what browsers) were mostly red (i.e. not implemented).
Fast forward four years into the future, most of it is green. That is because those standards became adopted and the functionality that it brought to life makes everyone’s life better.
Designed in the past, adopted in the future. The way it should be.
Contrast this with the current set of standards that we have “up for comment” from the OGC right now…
Before you think that I am against the OGC, let me tell you that you could not be further from the truth. In most presentations that I have given in the last 6 years (at several conferences, some keynotes, and even my own GeoMeetups ) I have always dedicated slides and time to convince/teach people about the OGC and the importance of standards.
Yet, although I have several friends that do work in these standard bodies (I love you guys – you know who you are!), it still feels that there is an unnecessary amount of bureaucracy at the OGC that is truly killing innovation.
OGC is making “standards” that are outdated, unnecessarily overly-complicated, reference implementations that cannot be used as a reference (read below!), and a whole bunch of protocols that resemble what a protocol would have looked like in 1999. They completely ignore what we have learned in the last decade.
Let me give you some real examples.
- WFS, XML Datastores and queries:
XML Datastores were all the academic hype back in the day. Yet they never took off (with reason). The query language used by OGC (which is another OGC standard) assumes the underlying data store is XML. For those of you not familiar with what this actually means, it is more than a representation of something as text. It assumes you have an XML Infoset.
At the core, the OGC spec for Filters is just an attempt to represent SQL as something equivalent to an XPath expression to be used on the web (?!?).
Anybody that has ever tried implementing WFS will understand what this means. Basically, several months of development, to create a parser that grabs an xml document and turns it back into SQL. But to do it correctly, you don’t have to generate one SQL statement, but several ones. Why? Because the query language is so expressive, than in reality you should be able to create expressions that span multiple underlying tables (it assumes it is an XML Datastore after all) which basically makes you just really sad and go home depressed because it is unnecessarily complex.
I have an idea, why, instead of writing a client application that transforms my query into OGC filter speak, goes through a middleware that grabs the OGC filter speak and turns it back into SQL which then goes to my underlying database - instead - do I just not have one method (ExecuteSQL) and be done with it. Use SQL. Let’s just not reinvent a SQL. The CartoDB guys seem to have this right in their API . One tiny little api, you pass a string… it does a lot! You know how long it takes to implement something like this? Hours, not months. And you actually have more power than what is expressed by the OGC equivalent. Problem solved.
- XML/GML as a transport mechanism:
This is the mechanism of transport of choice for OGC standards. I have a two year old post about why I think this is far from ideal. Although there are some updates to be made to that answer, at the core, it still remains valid. If somebody tells you that the answer is to ‘gzip’ GML, then, they are wrong (a topic for a future post).
I am still baffled as to why do none of the standards, yet, refer to things like Protobuffers, MessagePack, Thrift, Avro - gosh - anything that we have learned to do better in the past decade!
Switching to any of these, or including them as serialization options would make all the implementations of these standards better/faster.
- “Reference Implementations” that cannot be referenced It is true that a “reference implementation” should be able to be, well, referenced. I cannot currently look at how the GeoServices REST reference implementation (I guess ArcGIS Server) is implemented internally, thus, the specification fails at having a valid reference implementation.
Does that mean that for a reference implementation to be useful it needs to be Open Source?
Maybe that is not enough.
Some people would argue that the reference implementations for the OGC GeoPackage spec, Spatialite, is arguably also not a good choice.
Why?
Because you cannot copy/paste or even create “derivative work” from it without also having to GPL/LGPL your work. Is looking at a reference implementation, seeing the internals, and copying how it works considered derivative work? Those are the type of questions that no developer wants to deal with, so IMHO, the OGC has the responsibility to pick reference implementation that in unencumbered by these issues. By picking Spatialite and a proprietary server (ArcGIS Server) as reference implementations to their respective specs, the OGC is showing that they are either 1) really clueless about these type of issues, or 2) don’t care. Either way, this is horrible.
- Websockets?
I wish! Where are the implementations that take advantage of full duplex communications? Server side push? Seriously, are we still assuming users are going to poll all the time and transfer state in every request? This is exactly why most real-time tracking implementations are done incorrectly. Why are we still stuck in a stateless architecture design? We can do server push now without Flash or Java (or Silverlight yikes!). Websockets exist. USE THEM.
I touched superficially around this topic in the last PyCon. The video is up if you are interested.
- [Https,] Authentication/authorization, security
I don’t even want to touch on authentication/authorization around all the OGC specs. OAuthv2, or even the first version of that are far better than what is expected of the current implementations of security. Most people rely on passing USERNAME/PASSWORD in the request. This is horrible.
But wait, I guess if I use [https] that means I am secure right? Hell no!
Look at this video from last year’s Blackhat (quite awesome actually) and then come back with a straight face and tell me this is fine.
** - SPDY** If you do not what SPDY is, then, you will definitely be surprised to tell you that all your [https] traffic to Google , Facebook and Twitter is not going over “traditional” SSL.
Yes, they use a special protocol called SPDY.
It is faster than traditional http (even though it is going over an encrypted channel!). Think about this for a sec.
Does the OGC use SPDY? Of course not. Does it make a difference? Check out this video of last year’s Google I/O about SPDY and you be the judge.
- Non-blocking servers.
The Mapbox guys get it. They use node.js for serving their tiles. Do you want to understand why this is a good thing? Check out this presentation by Ryan Dahl 3 years ago which gives an overview of why this is the case.
Anyway.
I can go on and ramble forever, but I want this to be more constructive.
**The discussion around OGC specs should be about what GIS is going to be like in 5 years in the future. **
Why did the OGC not work with the W3C to push WebSQL through (now stalled)? Imagine spatial extensions in every browser on the client side?
Why don’t we have a good spec about spatial replication, spatial changetsets, optimistic/pessimistic/long-transaction versioning, etc?
Why don’t we have specs that take advantage of web stateful connections?
Why don’t we have a spec for highly compressed geometries?
Why don’t we have a spec that defines better editing capabilities? (hint: WFS-T is not enough for several editing workflows)
Why don’t we have a spec that defines how to truly take advantage time-based datasets?
The list goes on.
Instead, the community as a whole is having long discussions analogous to the one about whether 3857, 3785 or 900913 was a better number for the Web Mercator definition.
Listen OGC, want to see a good standard definition? Check out MBTiles. Easy to implement, and to the point.
Want to change? Design/Define for the future - not for the present nor the past.
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23:09 Waze valued at $1BSpatially Adjusted
sur Planet Geospatial - http://planetgs.com
So Waze may be part of Facebook for a cool ”One Billion Dollars”.After spending $1 billion on Instagram last year to keep pace with the mobile photo explosion, Facebook is now reportedly ready to spend a similar amount on popular social driving app Waze.
Waze is considered the second most popular navigation map in the USA so it’s not too much of a surprise. I do find it interesting though that Facebook would spend this money on the data. They don’t need the users, that’s for sure and they can buy engineers to solve the problem. I can only think it is better to own Waze than use OpenStreetMap data that you have to share. Are we seeing problems with the license? I hope this is a huge discussion at OSM PLUS next month.
UPDATE - Marc Prioleau has some great insight on his blog. His kicker at the end?
Why OSM isn’t a better option is another whole discussion. I suspect it revolves around ownership and data rights.
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22:30 Using LiDAR to Search for la Ciudad BlancaLiDAR News
sur Planet Geospatial - http://planetgs.comSome believe there is a lost city yet to be found in these jungles and that LiDAR may be the technology that will help them find it. Continue reading →
Click Title to Continue Reading...
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21:00
Skydiving with Google Maps
sur Google Maps ManiaIn my daily search for new and exciting implementations of the Google Maps API I normally check Twitter mentions of 'Google Maps'. One of the problems with using Twitter for this kind of search is that the results are often over-run with lame Google Maps jokes.
Probably the lamest joke, and one that never seems to disappear from my Twitter search results, is this:
"I've never skydived but I have zoomed into Google Maps really fast."
Well now you can skydive for real on Google Maps - but only if you are attending Google I/O next week. Check out the video to see it in action and to learn a little more about how this game was developed.
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20:31 Esri and an OGC StandardSpatially Adjusted
sur Planet Geospatial - http://planetgs.comSo there is a ton of talk about Esri’s REST API trying to become an OGC standard on Twitter. We mentioned it on my hangout yesterday and it’s still a hot topic. Here are some bullet points.
OGC exists to help software vendors, open source projects, contractors market to the federal government. There is no altruistic goal other than to make money.
OGC standards are standard only in the world of contracts. Just because Esri gets their REST API “blessed” doesn’t make it worth using any more than it was before.
Esri submitted their REST API to OGC so they could use it in federal contracts instead of existing OGC standards which nobody uses.
Esri REST API won’t be used outside of Esri software so it really doesn’t matter.
Esri’s consulting arm is competing with all of us. Beware as they’ll squeeze you out the minute they can.
OGC standards suck so that’s why people are always proposing new ones. By next year there will be another “standard” coming up that will replace Esri’s.
The simple fact that there is a proposal for ”OGCJSON” should tell you all you need to know about these standards.
Esri exists to make money, that’s OK as I work for the same reasons. Just don’t wrap their business model up with saving the world.
KML is the only OGC Standard people actually use. The rest are check boxes on a form.
Don’t get emotional about OGC standards. That’s what they want, people to actually start caring.

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20:23 Acronym Soup…FIFRA, hold the DDTBig Blue Thread
sur Planet Geospatial - http://planetgs.comBy Shawn Henderson
Recently a friend introduced me to a website called Reddit. For those who are unfamiliar with Reddit, it’s basically a forum message board on steroids. Redditors can post news articles, images, links, etc. in all different topic areas. Trust me; you can spend hours looking through the different stories and images many of which are amusing at times. Several days ago I was perusing one of the sections and ran across the picture below, which appears to be from a 1950’s magazine article. Ah yes the 1950’s, sock hops, soda fountains, drive-in movies… and DDT? I poked around a little more and found several You-Tube videos of DDT being applied to swimming pools with kids still in them and even one of a gentleman spraying DDT on a carrot and then proceeding to eat it portraying its relative safety. Needless to say we have learned a lot since the 50s.
EPA is responsible for regulating pesticides under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA). The beginnings of FIFRA actually date way back to a 1910 pesticide control law, with FIFRA itself being passed in 1947. In its earliest incarnation FIFRA was mostly concerned with labeling to ensure that folks were getting actual pesticides like DDT and not watered down ineffective products.
In 1972 FIFRA was re-written when it was amended by the Federal Environmental Pesticide Control Act (FEPCA) and has been amended numerous times since 1972, including some significant amendments in the form of the Food Quality Protection Act (FQPA) of 1996. In its current form, FIFRA mandates that EPA regulate the use and sale of pesticides to protect human health and preserve the environment. Under FIFRA, EPA is specifically authorized to: (1) strengthen the registration process by shifting the burden of proof to the chemical manufacturer, (2) enforce compliance against banned and unregistered products, and (3) promulgate a regulatory framework missing from the original law. You can learn more about EPA’s role with FIFRA at EPA’s Pesticide website.

Much has changed since the 1950s. DDT has been classified as a probable human carcinogen and has been found to be persistent in the environment. It is one chemical in a suite of pesticides that we look for when analyzing samples of water quality. In my role as EPA Region 7’s STORET (Water Quality Storage and Retrieval System), I get a chance to see all of the water quality data for the Region, and thankfully, we have noticed a downward trend in DDT concentrations over the years, especially in fish tissue. USGS’s National Water Quality Assessment Program has found the same thing. However, the picture above should serve as a constant reminder of the need to continue to monitor for chemicals in our environment and study their relationship with human health. Something we think of as great today, might not be so good thirty years from now.
Shawn Henderson is an Environmental Protection Specialist with the Environmental Assessment and Monitoring Branch of the Environmental Services Division. He is a part of the Aqua Team, and conducts water quality sampling around the Region’s four states. He has a Computer Science degree from Park University and helped to develop the Region’s KCWaterBug app and kcwaters.org.
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20:22
The Changing Picture of the Earth
sur Google Maps Mania
Google Maps, the U.S. Geological Survey, NASA and TIME have come together to release an awesome new interactive timelapse application for viewing satellite images of the Earth.
Timelapse allows you to create a timelapse sequence from satellite images (from 1984 to 2012) for anywhere on Earth.The application comes with a number of default views that allow you to view timelapse animations of satellite images showing the sprawling growth of Las Vegas, the building of Dubai, the shrinking of the Mendenhall Glacier and the drying-up of Lake Urmia.
The first thing you will probably want to do (after watching some of the default animations) is to view a timelapse from satellite images of your own town. When you've done that you might want to use the Google Map to centre on and view timelapse animations of Puning, China the World's fastest growing town) and Hong Kong (to view the reclamation of land from the sea).
A little user tip The timelapse animations look much better when played back at a slower speed. So mouse-over the date (bottom-left of the app) and change the playback speed from 'fast' to 'slow'.
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19:44 Timelapse Satellite Imagery – View Changes in the Earth Over TimeGIS Lounge
sur Planet Geospatial - http://planetgs.comThe series of Landsat satellites has been collecting global imagery continuously since 1972. A total of eight satellites and millions of pictures (and trillions of pixels) has resulted in a hugh amount of imagery which, when compiled, visualizes the massive amount of global change over the past thirty+ years. Landsat satellites capture imagery of the [...]
The post Timelapse Satellite Imagery – View Changes on Earth over Time appeared first on GIS Lounge.
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19:28
The Live Updating Weather Google Map
sur Google Maps Mania
The developers behind the excellent OpenSignal map have released a new mobile phone app and crowd-sourced Google Map called WeatherSignal.
WeatherSignal takes advantage of the ever growing number of sensors built into modern smartphones. Using these sensors the WeatherSignal app is able to gather data about temperature, pressure and humidity. WeatherSignal is then able to use this crowd-sourced data to create a worldwide live updating map of weather conditions.
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19:16 GIS Cloud Preview: GIS Cloud Applications on TabletsGIS Cloud
sur Planet Geospatial - http://planetgs.com -
18:31 Creative Cartography Meets Music in The Song MapAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comOh yes, I love art… I also love music too, heck, who doesn’t right? Well, I know you GeoGeeks and music lovers will really dig this one as we stumble onto yet another amazing cartographic product that quite simply will … Continue reading → -
17:34 Is Waze a Billion Dollar Company?Prioleau Advisors
sur Planet Geospatial - http://planetgs.com
Waze is back in the acquisition rumor mill. In January, it was a rumor about Apple (propagated and debunked on successive days by TechCrunch). Today, the rumored buyer is Facebook. The one constant seems to be the price: $1B.Not sure if it’s true this time, but even if it’s not, it does raise the question: Is Waze a billion dollar company?
The comparable most often used is Instagram. Given that Facebook is the subject of the rumors this time, that’s in every article I’ve seem so far. The parallels are obvious, small company with limited revenue but growing user base bought for a $1B.
I don’t think the parallel holds. IF Waze is being bought for that amount (and I think it could happen), it is not for the same reasons that Facebook bought Instagram. If Waze is worth $1B, it is not for the 40+M users of their traffic app. It would be for the underlying map data that they are building.
Facebook bought Instagram because they had a fast growing user base in a space (photography) that was near and dear to Facebook’s heart. Neither of those factors justify that sort of money for Waze. Even considering their 44M users (and I suspect that the active users are a fraction of that), that barely shows as a blip on Facebook’s 1.1B users. And Facebook hasn’t shown any interest in maps and location, much less navigation, much less traffic. I doubt they’d buy Waze to get a traffic app.
What’s really valuable at Waze is what most people don’t see: the underlying map data that they are building as a result of all those GPS traces collected from their users. By compiling millions of these traces overlaid on publicly available map data, they have been building a crowd-sourced road map database. And worldwide map data is very hard to build, which is why there are so few of them.
If the rumor is true (and the price is in that ballpark), it would indicate that Facebook wants to complement their moves into local search (Facebook Nearby) with their own mapping platform and their own mapping data underneath that. Waze gives them both, at least at some starting level. Said another way, if the price really is in the $1B range, it’s not for the revenue, or the team, or the 44M users or even the quirky traffic app. It would have to be for the map data.
I have noticed that Waze management has been describing their company much more as a mapping platform in recent interviews (for instance, here with Liz Gannes). A year ago, it was all about the app. Not so much recently. They seem to have focused on the maps and the data.
From the outside, it is hard to know how good this data is. I suspect it is good in some areas and not so good in others. However, Waze’s map methodology gets much better if you extend it from their 44M user base to Facebook’s. You get 1.1B users and much better geographic coverage. That could possibly combine to bring the quality of that map up very quickly.
I have no inside knowledge as to whether the rumors are true. But if they are true, I think that you go down a wrong path by thinking about Waze as a second Instagram acquisition. They would be valued for the underlying data, not the app.
And if it is true, advanced congratulations to Waze!
Addendum: Why OSM isn’t a better option is another whole discussion. I suspect it revolves around ownership and data rights.
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16:35 OpenSignal Launches WeatherSignal Crowdsourcing Effort
sur All Points BlogOpenSignal is the team that offers and app you run on your cell phone to crowdsource carrier coverage. Now it's launched WeatherSignal, which does the same thing, but for weather. Alas only the latest (Samsung Galaxy S4) phones have all the sensors the app can tap, but older ones can at... Continue reading
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16:35 OpenSignal Launches WeatherSignal Crowdsourcing EffortAll Points Blog
sur Planet Geospatial - http://planetgs.comOpenSignal is the team that offers and app you run on your cell phone to crowdsource carrier coverage. Now it's launched WeatherSignal, which does the same thing, but for weather. Alas only the latest (Samsung Galaxy S4) phones have all the sensors the app can tap, but older ones can at... Continue reading -
16:31 Editing OpenStreetMap (OSM) Just Got Really Easy With iD Map EditorAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comThere’s no arguing that OpenStreetMap (OSM) has exploded in use and popularity, heck, just look at the basemap layer options in any online web mapping services and you’ll see OSM as an option. Often considered the wikipedia of the mapping … Continue reading → -
16:30 Geospatial analytics for the smart gridBetween the Poles
sur Planet Geospatial - http://planetgs.comAt the Distributech 2013 conference, the largest electric power distribution conference in North America with attendance of about 9600, earler ths year in San Diego, if there was one consistent message, it was that smart grid has become mainstream - every utilty is doing something related to smart grid.
I was interested in how gespatial was being used for smart grid applications by vendors at Distributech. At the conference there were something on the order of 400 talks and panels. Of these only a few explicitly mentioned geospatial or GIS so you might have concluded that geospatial was not playing a very important role in smart grid. But the reality is quite different. I talked directly to about 18 companies, mostly vendors, whom I asked about their use of geospatial technology. All but two said that they were using geospatial technology in some capacity.
One of the most interesting from the perspective of the application of geospatial technology for analytics was Tantalus Systems. Tantalus provides utilities with an intelligent communications infrastructure supporting smart grid. Tantalus' network solutions rely on wired, wireless, or a combination for bidirectional communications. Tantalus can integrate with well-known GISs like ArcGIS, or alternatively can provide an open source geospatial solution.
RF network analysis
Geospatial technology is used by Tantalus customers in several different capacities. The first is to help identify problems or misalignment of resources in the radio frequency (RF) and electric grid network. Visualizing the RF and distribution network geographically enables customers to identify and resolve problems in the RF network. According to Dave Kauffman, Senior Product Manager for Applications and Interfaces at Tantalus, “GIS brings an entirely new dimension to problem solving for utilities. Before, our customers had to try to understand the source of problems by looking at tables and reports, but they found that with the geospatial view, the source of the problem, typically obstructions, became much easier to identify and correct."
Predictive maintenance
Tantalus customers also use geospatial analytics to look for patterns in outages by overlaying historical outage events on the distribution network and maps showing soil types, weather patterns, and traffic density patterns. Using this type of analytical approach can identify patterns that make it possible to identify equipment that is susceptible to failure and correct the problem before it actually fails.
Reducing risk in Volt/VAR
One of the new areas where GIS is just beginning to be be applied is voltage maps, a new application that Dave is very excited about. When a utility is implementing Volt/VAR at a substation to reduce load, voltages reported by smart meters can be mapped geographically in real-time across the entire distribution network in the form of isovolt maps. This makes it possible to identify areas of low voltage in real time, which is critical because the voltage cannot be allowed to drop below a tolerance mandated by the regulator in order to avoid potential damage to utility and consumer devices.
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16:27 QGIS equals no need for ESRI anymore.Mapperz - The Mapping News Blog
sur Planet Geospatial - http://planetgs.comQGIS equals no need for ESRI anymore. Quantum GIS is replacing our ArcGIS platform. Simple Why, with the up and coming of QGIS 2.0 (currently at 1.9 alpha) Why the...
Map and GIS News finding blog. With so many Maps and GIS sites online now it is hard to find the good from the not so good. This blog tries to cut the cream and provide you with the newest, fastest, cleanest and most user friendly maps that are available online. News has location and it is mapped.
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12:36
The Irish Geek's Dream Map
sur Google Maps Mania
The Atlas of Ingenious Ireland is an Irish geek's dream map. The map helps you find Ireland’s ingenious places; from museums to hi-tech research institutions Ingenious Ireland shows you where great discoveries were made, and where great scientists and inventors were born and worked.
Using the map you can find great places to visit in Ireland. For example, why not visit the world's oldest astronomical observatory at Newgrange, made 5,000 years ago in the Stone Age. Or you could visit the spot at Broome Bridge where Sir William Rowan Hamilton, in 1843, invented a revolutionary new algebra. Hamilton's ‘quaternions’ describe things moving in 3D, and are now used to orient spacecraft, in 3D animations and in computer games.

Non-Irish geeks and nerds can use Nerdy Day Trips instead.
When nerds go to the beach they go to Marconi Beach, named after the Italian inventor Guglielmo Marconi. Or at least they do if they consult Nerdy Day Trips.
This Google Map is a great collection of interesting places to visit. Consulting the map for my own part of London I find that Edmund Halley's grave is nearby, there is a Cold War era nuclear bunker museum just down the road and numerous small museums nearby that I never knew existed. -
11:09
Iranian Real Estate on Google Maps
sur Google Maps Mania
Dodota is only the second Iranian Google Maps app that we have featured on Google Maps Mania. Dodota is a real estate search application that allows Iranians to search for property by location, price and by property features.
The results of each search are displayed on a Google Map. Users can click on each of the properties shown on the map to view the price of the property and click through to view the property's full details.
Dodata is a Persian language property search portal. Currently the site has coverage in Tehran, Mashad, Karaj, Isfahan, Tabriz, Rasht, Shiraz, Kish and other Persian speaking towns.
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11:00 Western U.S. Disasters and Health & Air Quality: California Flames and Oregon Plains - NASA DEVELOPDirections Magazine - Top Stories
sur Planet Geospatial - http://planetgs.comThis past fall, NASA DEVELOP interns partnered with the U.S. Fish and Wildlife Service and the Oregon Department of Forestry to apply NASA EOS in understanding the impact of the 2012 wildfire season in Oregon on landscape and air quality. DEVELOP students combined VIIRS and Landsat 7 data to create burn scars and fire risk maps, and CALIPSO curtains and HYSPLIT modeling to visualize the extent of smoke plumes and particulate matter from the fires.
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10:20 Israeli Media Outlet: Facebook Finalizing Plans to Acquire Waze
sur All Points BlogFacebook is in the final stages of a deal to buy Waze per Israeli publication Calcalist (Hebrew only). The Next Web cites Assaf Gilad, describing Facebook is in "advanced talks" to buy Waze for about $1 billion. Facebook and Waze are partners. Wazers can share their drives via the... Continue reading
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10:20 Israeli Media Outlet: Facebook Finalizing Plans to Acquire WazeAll Points Blog
sur Planet Geospatial - http://planetgs.comFacebook is in the final stages of a deal to buy Waze per Israeli publication Calcalist (Hebrew only). The Next Web cites Assaf Gilad, describing Facebook is in "advanced talks" to buy Waze for about $1 billion. Facebook and Waze are partners. Wazers can share their drives via the... Continue reading -
9:03 Free as in Painstaking Cartography LaborDirections Magazine - Top Stories
sur Planet Geospatial - http://planetgs.comThe Massachussetts Bay Transportation Authority (MBTA) is essentially seeking new design ideas for its subway map - in the space of three weeks, for free, and with no rights retained by the cartographer. And if you win this contest? You get… um, fleeting glory, apparently. Andy Woodruff doesn't think this is such a great idea. -
8:13 Chopping rasters with gdal_translateBostonGIS Blog
sur Planet Geospatial - http://planetgs.comWe had this big raster that we needed to chop up into tiles and only extract a portion of for load into PostGIS. raster2pgsql doesn't currently have an option to pull just a portion of a raster and also we don't have the windows raster2pgsql compiled with MrSID support. Luckily GDAL commandline gdal_translate has this switch that allows you to specify a chunk of a raster to grab based on a projected or unprojected box window. We wanted to grab just that portion that is part of boston and chunk it into bite size pieces. What we needed was a grid generator similar to what we described a while back in Map Dicing and other stuff that would chop our neighborhood into bite sized tiles we could then use to generate the relevant gdal_translate command. Instead of using temp tables and all that stuff, we decided to try with the ST_Tile raster function. Creating an empty raster and then tiling it.
Note the repurposing: Creating a raster with no bands to accomplish a task that has nothing to do with rasters, so that we can then apply it to something to do with rasters. Gridding is a surprisingly common step in a lot of spatial processing workflows.Here is the SQL to do it and we'll explain in a separate article in more detail.
In a nutshell, we're using PostGIS raster technology (ST_Tile function introduced in PostGIS 2.1) that we demonstrated in Waiting for PostGIS 2.1 ST_Tile to create a grid because PostGIS geometry doesn't have cool gridding function like SpatiaLite has :). SpatialLite tesselation. Perhaps in PostGIS 2.2 we'll see some of these SpatiaLite niceties. However ST_Tile does the trick fairly nicely and quickly. For this example took under 600 ms to generate 1524 rows of GDAL commands.
Continue reading "Chopping rasters with gdal_translate" -
2:50 UbuntuGIS - GIS on LinuxGeo-preneur
sur Planet Geospatial - http://planetgs.comI sometimes get surprised to find out that some people don’t know how easy is to get GIS packages on Ubuntu. UbuntuGIS is really one of the easiest ways to get up and running. You will notice that there are two repos.
UbuntuGIS “Stable” which has really old packages. You most likely don’t want that.
UbuntuGIS “Unstable” which is really not unstable at all. It just has newer packages. You do want that!
To get it working in your Ubuntu system add the ubuntugis-unstable repo:
sudo add-apt-repository ppa:ubuntugis/ubuntugis-unstable -y sudo apt-get update sudo apt-get upgradeNow you can install all kinds of cool packages.
sudo apt-get install postgis gdal qgisIs an example of how to get gdal, postgis and qgis ready to go.
Enjoy.
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23:30 Help Map Old WeatherGIS Lounge
sur Planet Geospatial - http://planetgs.comThe Old Weather project is a crowdsourcing data gathering endeavor to understand and map historical weather variability.
The post Help Map Historical Weather From Ship Logs appeared first on GIS Lounge.
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23:07
Discover Australia on Google Maps
sur Google Maps Mania
Our friends down under at All Things Spatial inform us that Geoscience Australia has released a new, Google Maps based, Discovery and Delivery System. The map has been created to provide public access to a diverse range of data, products and services available from the organisation.
The map includes a number of overlay layers, including topography, geology, landcover, gravity image and magnetic image. The map also includes access to over 100,000 historic Landsat-7 and Landsat-5 images of Australia captured between 2000 and 2010. These can be viewed as WMS overlays on the map or can be downloaded as data.
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21:59 Autodesk Recap Photo Public Trial LaunchedLiDAR News
sur Planet Geospatial - http://planetgs.com"We launched the ReCap Photo public trial yesterday… Its available to anybody with an Autodesk 360 account for the next few months." Continue reading →
Click Title to Continue Reading... -
20:01 Creating a hexagonal cartogramSpatialists
sur Planet Geospatial - http://planetgs.comSome weeks ago I visualised the Swiss cantons (states) and their population numbers using what information visualization scientists call a linked view. You can click through to the actual, interactive visualization: here in German or here in French. In what follows I’ll describe the steps of data preparation for this visualization. I decided to keep the specifics on the implementation in D3.js for a third post in order to spare your scroll-wheel and -finger (so stay tuned for that one).
IntroWelcome to the second part of this series in which I describe the production of this linked view with a population cartogram (top right):
In case you missed it: in the first post of this series, you can read about the conceptual thinking that went into this visualization. But now let’s dive into some geodata-crunching:
Technically
GIS pre-processingIn what follows, I’ll try to give you a thorough description of my approach at data processing. I’ll include some screenshots of intermediate results. Obviously, I don’t know how familiar you are with GIS and spatial analysis terminology, so please bear with me if my description is too exhaustive. Conversely, speak up in the comments section, if I have forgotten something or something is not clear. I did all of the GIS analysis in Esri ArcGIS, however, any GIS that can handle vector data will do.
I started off with the following input data:
- Outlines of administrative units (cantons and cities)
- Spatially distributed population data from Swiss census
The preparation of the administrative units was quite straightforward: I applied a Union operation in GIS (ArcGIS Help Topic here). Then I did some tidying of the attributes and applied a set of geometric simplifications (polygon outline generalisations). The purpose of these is basically weeding out vertices from the geometries while preserving shape as well as possible. The bigger goal being, of course, simplifying the geometries enough for a fluid web experience down the line.
Swiss census data comes as a point grid at 100 meters resolution. Precise data characteristics don’t matter too much. And one could also use a thematic variable that comes at the same resolution as the display units – cantons and cities in this case. While the handling of canton/city level thematic data would be much easier, the spatially distributed thematic variable in this case allows for a more representative cartogram. If you wonder why, consider, for example, a US setting: Salt Lake City would cause a big local distortion in a cartogram using spatially distributed data, whereas its population would be spread out uniformly throughout all of Utah, if you use state-level data. This effect causes visible differences in the cartogram in regions where population distribution is not spatially uniform.
The GIS processing chain starts with these steps:
- Generation of a grid (in my case at 5 km resolution, but that number is a bit dependent on the resolution of your input data, your area of interest and maybe your application; as a rule of thumb, I’d suggest a grid resolution that is similar to the size of your hexagons). Any regular tesselation other than a rectangular grid will also do.
- Union operation on the grid cells and the administrative units. This yields smaller spatial analysis units, that follow the boundaries between administrative units.
- Spatial join of thematic variable to the new spatial units. A spatial join is a GIS operation where the spatial relationship of entities in two different datasets is evaluated. If a specified relationship is fulfilled, the characteristics of the features in the join dataset are joined to the features in the target dataset. The spatial relationship for this operation was containment (i.e. the criterion was: is a given census data point within the spatial unit at hand?). The join operation encompassed summing up the values. The overall process yields the sum of the population at all census data points which fall within a given spatial analysis unit – or, without the GIS lingo: the total population per unit).
For distortions you need a Scape… toadThe resulting data in Shapefile format was then transferred to the cartogram software Scapetoad. Scapetoad is a freely available Java software developed in the Choros Laboratory at EPFL in Lausanne. It employs the diffusion-based cartogram algorithm by Gastner–Newman. I did several model runs and iteratively tuned the algorithm parameters. That encompassed mainly striking an acceptable balance between subjective quality of the result and cartogram computation time. Unfortunately, I cannot give heuristics for this, you’ll really simply have to try with your data.
When I was happy with the result, I re-imported the cartogram dataset from Scapetoad into the GIS and used a Dissolve operation to aggregate the units back into regions (again, any GIS will do, but the precise name for the operation may vary).

Cartogram production part 1: (1) Preparation of cantons and cities dataset (2) Union of dataset with grid (3) Import into Scapetoad and distorting (4) Re-import into GIS and dissolving the geometries
Enter the hexagonsAfter these steps, I used a third-party add-on to ArcGIS to create a hexagonal grid (other GISs may have built-in support for creating hexagons). I chose the resolution of this grid to be similar to the one used for creating the spatial units before the spatial join and cartogram generation. I think that is an okay heuristic for dealing with resolution sensitivity or scale issues and MAUP (each of these can spark long discussions, but I’ll spare you).
Then I used another spatial join: this time on the distorted geometries and the hexagonal grid. Thus, I could automatically assign hexagons the respective region code, whenever the hexagons where located completely inside a distorted region. I did not use automatic conflict resolution on hexagons located on borders between distorted regions. While doing this would be perfectly possible in GIS, I actually wanted the wiggle room these unassigned hexagons gave me.
To conclude the cartogram generation, I manually assigned the border hexagons to adequate administrative units. In this subjective approach I employed two important cartographic principles:
- shape preservation
- topology preservation
It may seem odd to talk of shape preservation in the case of a cartogram (whose point are the distortions), but I hypothesise that, also for cartograms, preserving some key features helps people appreciate the geometries better. As an example, I maintained the small “antennae” of Grisons (near the right/eastern edge of below graphic) although I thus locally overestimated the population a bit (see graphic below). I also overemphasised the bays of the lakes bordering some cities (Geneva (bottom-left), Lucerne (below center) and Zurich (biggest city)). Features such as these are so well-known by people familiar with the geography, that they help those users recognise the unusual geometries.

Cartogram production part 2: (1) Overlay of hexagonal grid onto geometries (2) Spatial join and manual clean-up (3) Dissolving the hexagons into distorted administrative units
Examples for preservation of topology were cantons of Obwalden, Nidwalden and Uri (near the center). In an early iteration, these touched the border of Italy in the south, between Valais and Ticino. This is not the case in geographic space, though. I manually overrode that configuration in order to replicate the topology of the geographic regions closely, thus also fostering recognition.

Comparison between the conventional (Gastner-Newman) cartogram and one with the “hexagon treatment”
Quality checking and file format conversionThroughout these manual interventions, I kept an eye on the quality of the representation using a simple, dynamically updated scatterplot that related the number of hexagons per distorted region with the total population of the respective region. The coefficient of correlation, R2, started out high and with the end result I achieved a value greater than 0.99, that is the representation in the cartogram was very close to the actual population numbers: Nice!
For the visualization I couldn’t use the antiquated Shapefiles, but instead opted for the Topojson format by Mike Bostock (who also happens to be the creator of D3). Topojson of course plays well with Javascript and thus also D3. In my visualization, I wanted to display three datasets: the aggregated distorted geometries of cantons and cities, the tiny hexagons which they consist of as well as the undistorted geometries for my reference map. Thus, I converted all these datasets to Topojson files using an online service called shpescape. But other options do exist, such as GDAL/OGR (see Mike’s approach with that tool in his tutorial).
With the first visualization prototype, a problem became apparent: For the cartogram, the numerous small hexagons were supposed to be loaded and displayed first. Only after, the cantons and cities should be overlaid on them, with a slight transparency. But ever so often the considerably bigger hexagon Topojson file would be loaded and displayed in D3 only after the cantons and cities and thus the hexagons were on top of the latter instead of the other way around. An easy way to avoid this was the merging of all data files into one big file. To that end, I used the following syntax adapted from the afore-mentioned tutorial by Mike (topojson needs to be installed at this point):
topojson -o swiss_regions.json hexagons.json distorted_units.json undistorted_units.jsonAnd with the first line of code: That’s it with data-processing. I started out from a “normal” official cantons and cities dataset and Swiss census data. Through various GIS processing steps, the use of Scapetoad for distorting, some more GIS including manual interventions and conversion, I obtained the Topojson file that would be at the core of my visualization.
The manual steps in the above process may seem tedious, but they took maybe an hour at most in my case. It’s really a question of your setting: complexity of the shapes you’re dealing with and the size of your hexagons, mostly (one of these you can choose ;).
In the next post, I will give some pointers regarding the actual implementation of my visualization using D3. Until then, stay tuned – via Twitter, RSS or email subscription (see top-right)!
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19:29 OpenStreetMap Editor Designed by MapBox Goes LiveGIS Lounge
sur Planet Geospatial - http://planetgs.comiD is a new easy-to-use OpenStreetMap editor that allows anybody with minimal technical knowledge to contribute GIS data to this crowd sourced mapping project.
The post OpenStreetMap Editor Designed by MapBox Goes Live appeared first on GIS Lounge.
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19:23 Hangouts with James Fee:: Live from the AirportSpatially Adjusted
sur Planet Geospatial - http://planetgs.comSteve Citron-Pousty joined me to talk about some of the latest trends in the spatial world. We hit on Google Glass, Esri, Frameworks, housing prices, travel, iD and OSM, naming stadiums and of course being in an airport. The IRC log is here
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18:35 Businesses That Aren’t Using Mobile? Sad But TrueAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comI stumbled onto some research findings recently and what got my attention was not the headline, but rather, what the headline didn’t say. The pitch was that according to a study, 66% of small business use mobile technology (smartphones, tablets) … Continue reading →
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16:51
No More Hills on Google Maps
sur Google Maps Mania
As a semi-keen cyclist the thing I hate most in the world (after cars, buses and trucks) is hills. I really, really hate hills.
Thankfully I can now use the Flat Route Finder to find cycling routes that avoid the steepest slopes. The Flat Route Finder uses the Google Maps elevation service to suggest the flattest possible cycling route. Two elevation graphs are also provided to show you the steepest parts of the route and the route itself is colour-coded to show you the easiest and most difficult stages of the journey.
If you don't like the look of the suggested route (or perversely you want to find the steepest route) you can drag the route around to view the elevation and difficulty of alternative routes.
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16:47 Geospatial Contractors Cynically Attempt to Take Over US Federal MappingMapBrief™
sur Planet Geospatial - http://planetgs.comThe party is over. During the 1990s anything related to IT was expensive and fat profit margins were easily procured. Post-9/11 was very good for geospatial contracting with both the escalation of defense spending to support three wars as well as the mushrooming requirements of the Department of Homeland Security. But now sequestration–and its impacts [...] -
16:13 YouTube Trends Mapgisn8
sur Planet Geospatial - http://planetgs.comYouTube unveiled this week their trending video map which is currently being overrun by Charles "dead giveaway" Ramsey. The trends are split out among location, age, sex, and views vs. shares across the United States. More countries are planned to be added soon. I'm hoping that being able to zoom into your own neighborhood will also be added. That feature is commonly found in Google's emergency response maps, so why not?
Check it out at [www.youtube.com] :
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15:50 iD is freaking awesomeFuzzy Tolerance
sur Planet Geospatial - http://planetgs.comI have written all manor of data maintenance apps over the years. One of the first apps I worked on professionally was a cadastral data maintenance monstrosity written in AML (shudders). I have created enough of these types of apps to know that I absolutely hate making these types of apps.
It isn’t just that they’re hard to code. And by hard to code, I mean really hard. They’re like ferreting a snowflake across the Sahara while trying to figure out what The Fountain was about hard. It’s more this: it’s almost impossible to create a data maintenance app that people want to use. Data maintenance isn’t fun. By the time people open your app they are already pissed off. To create a data maintenance app that people actually want to use is something I had written off years ago1.
Which is why what MapBox has accomplished with iD is so damn amazing. It makes you want to use it. It’s that good.
This is going to be a huge boon for OSM. After using iD, if I were king I’d dump any number of our layers and vendor maintenance packages and have our staff just start editing OSM via iD and using it as our basemap. It’s that good.
The iD editor itself is open source software (WTFPL licensed), and it is going to change the way we build web sites.
No jQuery. No Bootstrap. No Backbone. No Leaflet or OpenLayers or other mapping libraries.
It’s D3.
When I can free up some time I’m going to dig into the code and try to ferret out the genius. Mad props to MapBox. iD is freaking awesome.
1By written off I mean relegated to vendors. Redirecting the bitching is worth the premium. -
15:30 Economic value of big geospatial data could reach $700 billion/yr by 2020Between the Poles
sur Planet Geospatial - http://planetgs.comMcKinsey Global Institute published a report Big data: The next frontier for innovation, competition, and productivity that analyzes the state of digital data, how it is used in different domains in both the private and public sectors, and offers suggestions for policy makers. In addition to looking at big data as a whole, the report examines five areas in detail including personal location data.
Real-time location data generated by mobile phones and other devices has created an entirely new set of location-based services from navigation to pricing property and casualty insurance. Personal location data is a new horizontal application domain that includes industry sectors from utilities to insurance to transportation. The growing smart phone market is creating an exponentially growing volume of location-aware data. McKinsey sees this domain as a hotbed of innovation that has the potential to create significant value for consumers. For example, use of real-time traffic information for navigation will create a quantifiable consumer benefit by saving time spent traveling and fuel consumption. McKeinsey expects the economic value these innovations create to far exceed the revenue generated by service providers.
Economic value
Mobile phones with GNSS chips have created a revolution will continue over the next decade. This personal location domain offers the potential for huge new value creation over the next ten years that McKinsey estimates at more than $100 billion/yr (about 0.14% of world GDP) in revenue to service providers and as much as $700 billion/yr (about 1% of world GDP) in value to consumer and business end users. Realizing this value will require investment in technology, infrastructure, and personnel as well as appropriate government action.
McKinsey's detailed analysis of the major applications of personal location data finds that, in ten years’ time, these applications could create value of $100 billion/yr or more for service providers primarily from sales of navigation hardware and revenue from LBS, mobile LBS premiums, and geo-targeted advertising.
McKinsey estimates that by 2020 the benefits (difference between willingness to pay and the cost of applications) that customers, consumers and businesses, will enjoy from location-based applications will reach as as $700 billion/yr. Most of this, about 70 %, will be the consumer benefit from time and fuel saved by using GNSS navigation systems including those with real-time traffic information and mobile LBS applications. The remaining 30 % of the benefits will be through location-enabled applications such as geo-targeted mobile advertising. Smart navigation applications are estimated to provide $500 billion in value to global consumers in time and fuel saved by 2020. Geo-targeted advertising could represent more than 5 percent of total global advertising spending by 2020.
For comparison, a recent study prepared for Google by Oxera Consulting Ltd in the UK estimated global revenues from geospatial products and services to be $150-$270 billion per year. The geospatial industry is estimated to be growing by 13% per year through 2016. These numbers were estimated using a different methodology to McKinsey's. The lower estimate of $150 billion/year was estimated using a bottom-up approach based on the Bloomberg BICS classification of companies worldwide and assumptions about allocating the revenue from companies that provide geospatial in addition to other services such as Trimble. The $270 billion number was estimated by scaling up the US revenue estimated by Boston Consulting Group to come up with a world estimate.
Personal location data
McKinsey includes sources of personal location data that locate an individual to at least within a couple of city blocks in an urban settingin its analysis.
- Credit and debit card payments from cards processed at point-of-sale (POS) terminals and automated teller machines. In 2008, there were 90 billion to 100 billion transactions of this type worldwide.
- Mobile phones - the location of such devices can be triangulated from cell-tower signals. In 2011 there were about 6 billion of these.
- Smartphones with GPS - about 600 million devices in 2010 and the number is growing at about 20 % per year. Many smartphones also have Wi-Fi networking capability, which can be linked to a physical location of a Wi-Fi network.
In the future McKinsey expects indoor location to become more important. They mention Shopkick, which allows merchants to track their customers from when they walk into a store, and Path Intelligence, which can track foot traffic within malls or amusement parks.
McKInsey's research estimates that the global pool of personal location data was at least 1 petabyte in 2009 and that this pool is growing by about 20 % a year.
Location data generated by smartphones is growing at double the average rate of growth for all location data. Asia is the leading region for the generation of personal location data because so many mobile phones are in use there. In 2010 the regions with the largest number of cell phone users were
- China 800 million
- India 650 million
- North America 300 million.
Applications of personal location data
McKInsey has identified three major categories of applications of personal location data.- Location-based applications and services for individuals including smart routing, automotive telematics, and mobile-phone based location services
- Organizational use of individual personal location data that includes geo-targeted advertising, electronic toll collection, insurance pricing, and emergency response.
- Macro-level use of aggregate location data that includes urban planning and retail business intelligence.
Barriers to use of personal location data
Concerns about privacy and security was identified by McKinsey as a major barrier to future expansion of the use of personal location data. Laws are unclear about who owns that data and how it can be used. McKinsey believes that a policy and legal framework that clearly describes the permissible and prohibited use of these data would be beneficial for all stakeholders.
For policy makers, McKinsey sees that a priority is incentives for innovation are in place including developing an up-to-date framework for intellectual property rules and rights, funding R&D in potential breakthrough areas, and ensuring that the infrastructure, including spectrum policies, is optimal.
Methodology
By looking at the value chain of location-based applications, McKinsey examined both the amount of data generation and the potential to create value. McKInsey estimated the amount of personal location data generated in each category of application orsource device and in different geographic regions using the installed base of devices, usage behavior, and the frequency with which data are generated. To assess the potential value that data can generate, McKinsey estimated the economic value of each application to end users—individual consumers, enterprises, and government organizations. -
13:35 GeoSolutions participates at the GeoSpatial World Forum 2013 in RotterdamGeoSolutions' Blog
sur Planet Geospatial - http://planetgs.com
Dear All,
we'd like to announce that GeoSolutions will be present at the GeoSpatial World Forum Conference which will be held in Rotterdam between the 13th amd 16th of May 2013.
GeoSolutions will be represented by its founder and director Ing. Simone Giannecchini as well as by its Director of Biz Dev & Sales Dott. Eleonora Fontana, In particular Simone Giannecchini will speak on the 16th during the Open Source session as well as during the session focused on SME and INSPIRE.
If you are at the conference and you'd like to network with us to talk about we could build a collaboration leveraging on our Open Source products, drop us a few lines!
The GeoSolutions team,
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13:10
Google Maps to Get a New Design
sur Google Maps ManiaGoogle Operating System are reporting that Google are about to push out a radical new design for Google Maps.
Google Operating System surmise, probably correctly, that Google will announce and release the new look Google Maps next week at Google I/O. One of the major changes in the new design seems to be the removal of the sidebar. If you want to see more then have a look at the Google Operating System post, they have another screenshot of the new design in their report. -
12:30
Europe's Largest Airports on Google Maps
sur Google Maps Mania
Z24 Luchtvaartkaart is a neat mapped based visualisation of European airport data. The map shows the ten largest European airports in three different categories: takeoffs and landings, passenger traffic and cargo traffic.
As well as displaying the largest airports in these categories in 2012 the sidebar contains a link to view the fastest growing airports in each category.
The markers on this Google Map are really well designed and I like the way that they are scaled to represent the data. The map has also been styled to strip out unnecessary features, leaving just the country borders.
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11:31 Survey: 97% of Businesses Use Social Media; 17% Location-based Social Media
sur All Points BlogWhen asked what types of mobile/social advertising they currently employ, 97 percent of respondents said social media like YouTube™, Pinterest®, Twitter®, Facebook®, and Instagram®. Location-based promotions (Foursquare® check-in, etc.) came in a distant second at 17 percent, and text... Continue reading
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11:31 Survey: 97% of Businesses Use Social Media; 17% Location-based Social MediaAll Points Blog
sur Planet Geospatial - http://planetgs.comWhen asked what types of mobile/social advertising they currently employ, 97 percent of respondents said social media like YouTube™, Pinterest®, Twitter®, Facebook®, and Instagram®. Location-based promotions (Foursquare® check-in, etc.) came in a distant second at 17 percent, and text... Continue reading
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10:49 Rutgers Maps Sandy and other Education GIS News
sur All Points BlogRutgers students not ony built an app to track Sandy debris in Toms River, New Jersey, they went into the field to use it. It was aimed at determing households eligible for the township's demolition and debris removal program. They created a smart phone app in their Community... Continue reading
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10:49 Rutgers Maps Sandy and other Education GIS NewsAll Points Blog
sur Planet Geospatial - http://planetgs.comRutgers students not ony built an app to track Sandy debris in Toms River, New Jersey, they went into the field to use it. It was aimed at determing households eligible for the township's demolition and debris removal program. They created a smart phone app in their Community... Continue reading
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10:28 Latest in Indoor Mapping: App Tells How Long Gate to Gate at Airport
sur All Points BlogWayne Chen, whose company is based outside Boston, created Connect On Time, a free app for iPhones and iPads that provides maps of 42 global airports and more importantly calculates travel time to reach specific flight gates upon arrival. Abu Dhabi International, Honolulu International... Continue reading
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10:28 Latest in Indoor Mapping: App Tells How Long Gate to Gate at AirportAll Points Blog
sur Planet Geospatial - http://planetgs.comWayne Chen, whose company is based outside Boston, created Connect On Time, a free app for iPhones and iPads that provides maps of 42 global airports and more importantly calculates travel time to reach specific flight gates upon arrival. Abu Dhabi International, Honolulu International... Continue reading -
4:09 OpenStreetMap Rolls Out a New easy map editor and Switch2OSMAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comSome big news from the OSM crew today via the official blog as OpenStreetMap is now boasting a new online map editor for users making it easier for everyone according to the team. Codenamed “iD” the resource now boasts a … Continue reading →
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2:36
Saskatoon Crime on Google Maps
sur Google Maps Mania
The Saskatoon Police Service has released a crime map using the Google Maps API.
The SPS Crime Map's default view shows on a Google Map all of the previous day's crimes in the Canadian town. However the map includes a date tool that lets you refine the data shown on the map by any date range. The map sidebar also includes links to filter the results by type of crime and also to view traffic collisions on the map.
The crimes themselves are displayed on the map with colour-coded markers which indicate the category of crime.
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1:52 UpcomingSean Gillies Blog
sur Planet Geospatial - http://planetgs.comOn the 22nd of May, I will be arriving in Minneapolis for the North American edition of the FOSS4G conference and on the next day I will be presenting a talk entitled GeoJSON is Spectacularly Wrong. I had also submitted a Python GIS talk and was surprised and concerned when both were accepted because there's no way I could pull off two. I'd enjoy talking about Python programming a little more, but it looks like the community is slightly more interested in GeoJSON. I hope that I didn't chose the wrong topic. Thursday night I'll be at the fancy shindig and because open source GIS events always need more dudes I will be bringing my brother. Friday I'll be sticking around to hack and catch up with what's going on in the field. It's been a long time since I've been to one of these conferences. Maybe I can share my Python 3 porting experience or offer a "show me your Python script and I'll show you how to make it measurably better/faster, or your money back" service. Yes, like in 2003, I'm going to a Yo la Tengo show one of the nights (here in Colorado, which is why I'm arriving late). No, unlike in 2003 I'm not driving.
The following week I'm going to be at Drew University in Madison, NJ, for the second part of ISAW and Drew's Linked Ancient World Data Institute. Just between you and me, I'm a bit burned out on talking about linked data; it's long past time to just start producing and using linked data to get stuff done. I believe that's what we're going to try to do at Drew this year.
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0:08 LAS Validation Software PrototypeLiDAR News
sur Planet Geospatial - http://planetgs.comWith this we do not only want to demonstrate our technical capability but also illustrates the way we plan to inject transparency into the development process. Continue reading →
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19:55 Create Videos Using Google Streetview HyperlapseGIS Lounge
sur Planet Geospatial - http://planetgs.comDeveloped by motion designer Jonas Naimark, Teehan+Lax, a Canada-based technology design agency, released Google Street View Hyperlapse that allows you to create videos of your favorite routes around the world.
The post Create Videos Using Google Streetview Hyperlapse appeared first on GIS Lounge.
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19:54 Open Data Yields Tangible Results – And Tangible MapsMostly Maps
sur Planet Geospatial - http://planetgs.comThis hope was prompted by the maps I saw at one of London’s geomob meetups in November of 2012, where I saw and, importantly for a tangible map, touched Anna Butler’s London wall map and a prototype of David Overton’s SplashMap.
The hopeful prediction was made as a result of literally getting my hands on one of Anna’s London maps and it’s a treasured possession, though still sadly needing a suitable frame before it can take pride of place on a wall at home.
But what of SplashMaps? In November 2012 the project was on Kickstarter and I was one of the investors in this most tangible of maps. In December 2012 Splashmaps met their funding targets and went into production and today, through the letterbox came my own, tangible, foldable, scrunchable and almost indestructible SplashMap of my local neighbourhood.
Now all if this could be taken to be simply my crowing with delight over maps. But there’s a deeper context to all of these tangible maps. Both the London Wall Map and SplashMaps have come about due to one single thing … open data. The case has often been made, though equally as often misunderstood, that open data is an economic stimulus. As many people ask why should we give something away for free as ask for data to opened up to the public.
Both of these maps wouldn’t have been financially possible without access to open data; the pre-open data era licensing costs and restrictions alone would have put paid to any startup opportunities an aspiring entrepreneur came up with. But in these maps, the proof of what open data can do has become very real, indeed very tangible.
Written and posted from home (51.427051, -0.333344)
Another Piece Of Bloggage By GarySelf professed ”geek with a life”, geo-blogger, geo-talker and geo-tweeter, Gary works in London and Berlin as Director of Global Community Programs for Nokia’s HERE Maps; he’s a co-founder of WhereCamp EU, the chair of w3gconf and sits on the W3C POI Working Group and the UK Location User Group. A contributor to the Mapstraction mapping API, Gary speaks and presents at a wide range of conferences and events including Where 2.0, State of the Map, AGI GeoCommunity, Geo-Loco, Social-Loco, GeoMob, the BCS GeoSpatial SG and LocBiz. Writing as regularly as possible on location, place, maps and other facets of geography, Gary blogs at www.vicchi.org and tweets as @vicchi.
Mail | Web | Twitter | Facebook | LinkedIn | Google+ | More Posts (361)
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19:34
Portland Buses Live on Google Maps
sur Google Maps Mania
You may remember the SF Live Bus map we posted on Google Maps Mania last month.
The SF Live Bus map came with a link to the code on GitHub. Someone has now adapted the code to create a pseudo real-time map of the Portland Trimet transit system.
The PDX Live Map shows the real-time location of all buses, trains, and street cars in Portland. You can query the map to show only one route or vehicle number. You can also click on the marker of an individual vehicle on the map to view its departure point and destination.
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19:32 Recent GeoTech News / Magazines from Spatial MediaAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comHere’s a reminder from yours truly that GISuser is owned and operated by Spatial Media, our parent company. Our team of professionals churn out several online portals, print magazines, e-newsletters, daily news updates and features, and much more. Be sure … Continue reading → -
19:21 Largest Atlas in the World Created using ArcGISGIS Lounge
sur Planet Geospatial - http://planetgs.comEarth Platinum, the largest atlas ever printed, was released in February 2012 by Millennium House, Australia. Only 31 copies of the 330 pound, leather-bound book exist and each are priced at $100,000. The atlas was created by the work of 88 cartographer and used ArcGIS.
The post Largest Atlas in the World Created using ArcGIS appeared first on GIS Lounge.
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19:17 OS map design resourcesSpatialists
sur Planet Geospatial - http://planetgs.com
The Ordnance Survey blog posted a nice small compilation of cartographic resources today. They add some more colour resources over the ones I have already reviewed, as well as sites on fonts, symbols and “inspiration” (can’t all of us use some of the latter from time to time? ;-).Definitely not all of the listed resources are brand new, but I have found at least two interesting things I haven’t known: Maki Icons by MapBox or ColourLovers. Also not in the “new” section, but definitely worth checking out if you are not yet familiar with it is The Noun Project.
Let me know if any of it sparks your creativity!
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18:30 This Week's Hangout with Steve Citron-PoustySpatially Adjusted
sur Planet Geospatial - http://planetgs.comThis week’s hangout should be fun. Steve C-P joins me to talk about the latest trends in the spatial world. We’re going to have fun and crowdsource the topics. If there is something you’d like to see talked about tomorrow, just add it to this Gist.
As always, we go live at 11am PDT and the video will stream live here on this blog.
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16:51 MapBox's OpenStreetMap editorSpatially Adjusted
sur Planet Geospatial - http://planetgs.comGo to osm.org right now and click the edit tab. Select the “Edit with iD” and check it out.

It’s like nothing you’ve seen before. This is the tool that OSM needs to finish the map as Steve Coast said on my Hangout last week. All this is because of the Knight Foundation grant to MapBox which finally gives users tools they need to edit the map. As I said back then:
I’ve always felt OSM was held back by it’s editing tools. They are designed by nerds for geeks.
Well no longer, the editor is live and it’s gorgeous! Check out how you add a road:
Or add a park:
That’s not some crazy Potlach (now I did love that tool but it isn’t mainstream) method that only OSM users know. These are simple methods that everyone will understand. I do hope that it will also improve OSM’s biggest weakness, addressing. But in the meantime we should see lots of people start improving the map all around the world.
I have to be honest, when I first heard MapBox got a grant to improve OSM editing I thought it was a waste of time. There were already tools available, why not spend that money on something worthwhile. Well seeing iD in action, I feel like I need to take that all back. I no longer have to install Flash to edit OSM, that’s worth it’s weight in gold. I can imagine how this might look if another company did it, probably build in Silverlight with some crazy proprietary APIs. We should all be thankful MapBox took this on.
Update The OSM Blog has much more.
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16:05
Find Free Deals with Google Maps
sur Google Maps Mania
Belly is a universal loyalty reward program, which is available as an iPhone or Android app.
To find nearby rewards the app's users can search on the Belly Locations Map. The map itself is simple and well designed, taking advantage of the Google Maps API Styled Maps feature, custom map markers and a nice marker clustering system.
8coupons also uses Google Maps to help you find all the deals currently available in your neighborhood restaurants, bars, salons, and stores. 8coupons collects deals from over 500 sources.
Coupon hunters can also use CouponCabin to find great nearby deals.
CouponCabin searches "tens of thousands of consumer emails, online forums, blogs, merchant sites each week and even the Sunday newspaper" to find the greatest local deals.
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16:00 Estimating the economic and financial impact of poor data qualityBetween the Poles
sur Planet Geospatial - http://planetgs.comI have blogged on numerous occasions about data quality issues relating to infrastructure data at utiltiies including geolocational accuracy, most recently here.
There is an interesting compilation of statistics in an InsightSquared infographic relating to the cost of poor data quality in general, not just for utilities.
- The cost of bad or dirty data exceeds $600 billion for US businesses annually.
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Poor data across businesses and the government costs the US economy $3.1 trillion a year.
But it's worthwhile remembering David Loshin's (The Practitioner's Guide to Data Quality Improvement) perspective about the statistics relating to data quality. He cited some widely known statistics available in 2011
- Tom Redman’s 1998 article in Communications of the ACM said he was “aware of three proprietary studies that yielded estimates in the 8–12% of revenue range.”
- In 1999, Larry English suggested that “Based on numerous cost analyses, the typical organization may see from 15 to 25 percent of its revenue go to pay the costs of information scrap and rework.”
- In 2002, Tom Redman claimed that “Poor data quality costs the typical company up to twenty percent of revenue.”
- IN 2003, TDWI produced a report estimating that “that data quality problems cost U.S. businesses more than $600 billion a year.”
- More recently Larry English said “Poor information quality costs organizations 20-35% of operating revenue wasted in recovery from process failure and information scrap and rework.”
Loshin concluded that
- There are few (if any) published papers on actual case studies providing tangible details about the cost of poor data quality.
- Academic notes and books base their numbers on estimates, “proprietary studies,” accumulations from survey responses, or extrapolation from other estimates of the “cost of quality.”
- In the absence of tangible evidence of actual costs, according to the experts the costs seem to be rising, from a low of 8% of revenue in 1998 to 20-35% of operating revenue in 2009. I'm not sure if that means that the cost of poor data quality is rising or that our understanding of the impact of poor data quality has expanded.
Some other interesting items in the InsightSquared infographic
- Data quality best practices boosts revenue by 66 %.
- If the median Fortune 1000 company were to increase the usability of its data by 10%, company revenue would be expected to increase by $2.02 billion.
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15:00 Infrastructure excellence competitionBetween the Poles
sur Planet Geospatial - http://planetgs.comInfrastructure-excellence.com is hosting the second annual competition showcasing Excellence in Infrastructure— highlighting the best projects done in 2012/2013.The winners will be given over US$10,000 in prizes by the competition sponsors. The competition is open to anyone 21 years and older who is planning, designing, building, and managing infrastructure projects. Project types may include the following:
- Transportation (roads and highways, rail, airports, or bridges)
- Land development (commercial sites, subdivisions, public parks, or recreation)
- Water (distribution, water resources, dams and levees, or wastewater)
- Energy (electric and gas distribution, electric transmission, and substation design)
- Urban planning
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14:31 OpenStreetMap Launches New Editor and Funding Drive
sur All Points BlogAs of today OpenStreetMap users with a modern browser will automatically use the new iD editor, the result of the Knight New Challenge grant. Users can switch between iD (open source, available on github) and the existing Flash-based Potlatch 2 editor (soon to be the intermediate... Continue reading
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14:31 OpenStreetMap Launches New Editor and Funding DriveAll Points Blog
sur Planet Geospatial - http://planetgs.comAs of today OpenStreetMap users with a modern browser will automatically use the new iD editor, the result of the Knight New Challenge grant. Users can switch between iD (open source, available on github) and the existing Flash-based Potlatch 2 editor (soon to be the intermediate... Continue reading -
14:15 Search Across Many Data Sources From A Single InterfaceDirections Magazine - Top Stories
sur Planet Geospatial - http://planetgs.comCloudmade explores how the CloudMade On-Dash and In-Dash platforms use the Hybrid and Mapsafe technologies to let users search through point of interest data from many different providers and see the results represented as a single item.
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13:41
The History of the World - Part 1
sur Google Maps Mania
Карта местонахождений is a Russian language anthropological Google Map showing the locations of the earliest evidence of man found around the world.
This map of human evolution catalogues important palaeontological discoveries. Users can filter the results shown on the map by type of hominid and click on individual map markers to read about specific finds. Each information window includes a link to read a more detailed account of the evidence found at each location.
I've searched in vain for a similar English language interactive map but I did find this exhibit from the National Museum of Anthropology in México City on Street View.
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13:26 The Best Geographic Visualization I’ve Seen In AgesVerySpatial
sur Planet Geospatial - http://planetgs.com
It’s all well and good you can rattle off that most of the worlds population is in Southeast Asia. However, conceptualizing that is sometimes really challenging. It’s almost too abstract. That’s why this graphic is so amazing – more than half the world’s population lives inside this ‘circle’. That’s AMAZING! That tiny little circle encompasses the majority of the human population. The visual is just staggering.Who says Geography isn’t cool?
Via i09.com
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12:36 Why GIS Didn’t Help with the Boston Marathon Bombings
sur All Points BlogBryan Ware, writing at CTO Vision, details how the Boston Marathon bombing were a “big data” event. He's the CTO of Haystax Technology, a new analytics company focused on the defense and intelligence sector. And offers this important discalimer: Disclaimer: These observations are... Continue reading
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12:36 Why GIS Didn’t Help with the Boston Marathon BombingsAll Points Blog
sur Planet Geospatial - http://planetgs.comBryan Ware, writing at CTO Vision, details how the Boston Marathon bombing were a “big data” event. He's the CTO of Haystax Technology, a new analytics company focused on the defense and intelligence sector. And offers this important discalimer: Disclaimer: These observations are... Continue reading
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11:45 GIS Goes Mainstream in South Africa
sur All Points BlogA survey commissioned by mapIT and released by World Wide Worx earlier this year reveals just how pervasive digital mapping is becoming in South African businesses. The survey found 76% of South African corporations and 38% of SMEs spend more than 2% of their IT budgets on mapping... Continue reading
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11:45 GIS Goes Mainstream in South AfricaAll Points Blog
sur Planet Geospatial - http://planetgs.comA survey commissioned by mapIT and released by World Wide Worx earlier this year reveals just how pervasive digital mapping is becoming in South African businesses. The survey found 76% of South African corporations and 38% of SMEs spend more than 2% of their IT budgets on mapping... Continue reading -
10:29 How Important is Location in Location-based Advertising?Directions Magazine - Top Stories
sur Planet Geospatial - http://planetgs.comEnclosure: [download]
How important is the recipient's location when sending location-based ads? Perhaps not as important as other factors.
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0:30
This Office is Dead on Street View
sur Google Maps Mania
The Office is Dead is another great example of a company making imaginative use of Google Maps Business Photos. In this example Property Alliance in Manchester, England have used their Google Maps indoor Street View as a large advertisement for an office building.
The links above the Street View take you to important details about the building, space available and contact details. However unlike your average, run of the mill website The Office is Dead has plastered this information to the walls of the building and the links take you to close-ups of the text in Street View.
A number of Easter eggs have also been placed around the building so it is well worth using the navigation tools and floor number links to take a virtual tour around the building.
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0:07 ArcGIS Cloud is in Your FutureSpatially Adjusted
sur Planet Geospatial - http://planetgs.comNobody likes to complain more about software than Adobe Creative Suite users. But then this happened:
Adobe is pointing all of its energy towards Creative Cloud, eliminating the familiar retail box in the process. Like last year, the company is releasing an updated suite of applications this June, newly branded as “CC” apps. This includes: Photoshop CC, InDesign CC, Illustrator CC, Dreamweaver CC and Premiere Pro CC.
The key here is per user, per month. No more stupid buying a new copy of Photoshop every year and complaining about how there is no new value. Now you get the new version no matter what new features are added. Microsoft is trying to do with with Office 365 but most of us realize it is just a awful implementation of SharePoint. That said they realize that people just don’t upgrade anymore and in fact I’d wager they’d rather not anyway.
So Esri has lived on maintenance agreements and the wacky ELA agreements for revenue so they are practically halfway there anyway. I think the ELA tries to capture “per user/per month” but it’s not a 1 to 1 relationship. Adobe is showing the way and I think we GIS folks need to expect that Esri will transition everyone to such a model (at least those not on ELA) in a couple years. Autodesk is probably much closer to this reality so keep an eye on your AutoCAD users down the hall and see how their do when their 100% on Autodesk 360.
Now in the rush to get on the cloud, be careful slipping on those stairs in your Salvatore Ferragamo shoes.

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22:56 May is National Wetlands MonthBig Blue Thread
sur Planet Geospatial - http://planetgs.comMay is National Wetlands Month and three Wetlands of International Importance (designated by the RAMSAR Convention of 1971) are right here in Region 7. They are Cheyenne Bottoms, Quivira National Wildlife Refuge (both in Kansas) and the Upper Mississippi River Floodplain Wetlands which stretches through Iowa. These wetlands are three of the most important “flyways” for migratory birds in the country – right here in our backyards, folks!
The Ramsar Convention provides a framework for national action and international cooperation for the conservation and wise use of wetlands and their resources. The treaty was signed in the city of Ramsar, Iran, in 1971. There were originally 21 delegates from countries around the world who signed the first treaty. While it originally emphasized providing habitats for water birds, the Convention has subsequently broadened its scope to address all aspects of wetland conservation and wise use, thereby recognizing the importance of wetlands as ecosystems that contribute to both biodiversity conservation and human well-being. Wetlands cover an estimated 9% of the Earth’s land surface, and contribute significantly to the global economy in terms of water supply, fisheries, agriculture, forestry and tourism. There are presently 165 Contracting Parties which have designated 2,118 wetland sites for the Ramsar List of Wetlands of International Importance. Signatories are committed to the designation of wetlands of international importance, as defined by internationally agreed criteria. That means that the designated wetlands are protected from development.
Let’s take a closer look at the three Wetlands of International Importance….
Cheyenne Bottoms Preserve and Wildlife Area is located in Barton County, Kansas. With 11,500 acres of marsh land, it is the largest marsh in the interior of the United States. There are 134 species of birds that breed

Harland Shuster (2012) Center for Great Plains Studies Photo Project
and nest in the area, 148 species that may winter there, and 63 species that are permanent residents. At least 345 of the 472 species of birds known to occur in Kansas have been recorded at the Bottoms including threatened and endangered species such as Whooping Cranes and Piping Plovers. Annually over 60,000 visitors come to Cheyenne Bottoms for the purpose of hunting, bird watching, environmental study, fishing and trapping. These visitors bring revenue to the nearby cities of St. John, Stafford, Great Bend and Hutchison by their use of hotels, restaurants and other facilities. Here’s a link to a lot of interesting information and a calendar of migrations and events at Cheyenne Bottoms:
Kansas Wetlands Education Center
Quivira National Wildlife Refuge (QNWR) was established in 1955 to provide wintering and migration stopover habitat for migratory birds along the Central Flyway of North America. These marshes, together with a wide diversity of other habitats, provide food, cover, and protection for a wide assortment of wildlife. Wetlands, large and small, are present throughout the Refuge which has 22,135 acres of rare inland salt marsh and sand prairie.

Egrets. Photo from FWS
US Fish and Wildlife
Thousands of Canada geese, ducks, and other migratory birds, such as Sandhill Cranes and shorebirds, use these wetlands as they pass through the Refuge on their annual migrations. The grasslands surrounding QNWR also provide habitat for many mammals including beaver, porcupine, black-tailed prairie dog and armadillo as well as numerous species of grassland fowl. This link will get you to a map of the driving route through the refuge as well as observation points and what kind of birds and wildlife to look for:
Quivira National Wildlife Refuge
Upper Mississippi River National Wildlife and Fish Refuge is the newest RAMSAR site in Region 7. Encompassing over 240,000 acres of diverse floodplain habitat, the refuge stretches alongside 260 miles of the Mississippi River through Minnesota, Wisconsin, Illinois and Iowa. The refuge protects a significant portion of

U.S. Fish and Wildlife, Upper Mississippi River
the Mississippi Flyway, the migration corridor through the center of the country used by over 40% of the migratory waterfowl in the U.S. Other wildlife includes over 300 species of birds, 31 species of reptiles, and 14 species of amphibians. Humans also flock to this natural treasure; more than 3.7 million visitors explore these refuges annually and enjoy recreational offerings like hunting, fishing wildlife observation, boating and camping. For more information click here:
Visiting a wetland full of beautiful, vibrant life will restore your appreciation of the goodness of the earth. Enjoy the contrast of organized chaos as flocks land and take flight and the perfect calm as they float and rest. The mixture of noisy vocalizations and quiet feeding are better than any roller coaster ride. May is National Wetlands Month. Come experience the smells of wet earth and salty sand. Let the beauty of our Region 7 wetlands refresh your soul.
Cynthia Cassel is a SEE Grantee where, for 3-1/2 years, she has worked with the Wetland and Streams team in the Water branch. Cynthia received her BS from Park University and lives in Overland Park where she regularly carries a bag of rocks so as to remain safely earthbound.
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22:50 Conceptualisation of a D3 linked view with a hexagonal cartogramSpatialists
sur Planet Geospatial - http://planetgs.comSome weeks ago I visualised the Swiss cantons (states) and their population numbers using what information visualization scientists call a linked view. You can click through to the actual, interactive visualization: here in German or here in French. In what follows I want to give a bit more detail about what led to this visualization and what conceptual thinking went into the design.
In a subsequent post I will also describe the toolset I used to produce this visualization, so that you can build your own. If you’re not interested in the Background, you can skip to the Conceptually section. If that’s neither your cup of tea and you’re here primarily because you want to know how to produce such a visualization yourself, you’ll unfortunately have to patience yourself and wait for the second part of this series.
Background Why population sizes matter – in such a small countryWhy is the particular piece of information that is visualised here important or interesting? Well, in the Swiss political system cantons are represented at the federal level, whereas cities aren’t. However, some of the big cities represent a considerably larger number of people than quite some of the smaller cantons. There have been many debates if and how cities ought to be represented in the political system, about the specificity of urban issues and how those are dealt with or ignored in Swiss politics and if weighting of the cantons should be adapted to better match their population size. The issue crops up both in relation to elections and polls (Switzerland having a direct democracy there are really many of the latter).

Cartogram on Swiss TV
When I published the visualization Switzerland has just held such a poll. The poll did not pass, it achieved only 54.3% of “yes” votes.
– Wait, what? Yep, the vote won a solid majority of the people, but too many cantons said “nay” and thus, by the rules, it was a “nay”. Now, one can argue that this is not sensible or that it is perfectly sensible, I’m not going to do this here. But this background means, to my pleasure, that the visualisation was able to spark and inform many discussions (and met quite an audience). To my big surprise, it was even briefly featured in nation-wide primetime news, in a slightly reworked version.
Conceptually Linked viewsThe visualization is a linked view display because it combines three different views onto a dataset: On the left you see a barchart of population numbers in the Swiss cantons (green) and the ten biggest Swiss cities (purple). Bottom right there is an ordinary enough looking map of the same features. Top right there is a cartogram that uses distorted shapes to convey the number of people in each administrative subdivision.
The interaction elements of the three individual views are linked: Irrespective over which one of the three views you hover your mouse pointer, the respective feature is highlighted in the two other – linked – views. I’d suggest this makes the exploration process easier by reducing cognitive load by the amount that would be taken on for cognitively linking features in different views.
CartogramsThe cartogram is probably the most interesting part of the linked view: A cartogram is a map in which a variable is visualized by distorting the features in the map. In this case, the variable is population and the features are cantons and the ten biggest cities (in terms of population). The map beneath the cartogram solely serves as a reference – however, I would argue it is not negligible at all.
Research into the effectiveness of cartograms usually compares them to thematic maps (choropleth maps with or without graduated symbols). Geographers find that the effectiveness of cartograms depends on:
- the variable visualized (qualitative faring better than quantitative),
- on the questions asked or tasks posed,
- on the cartogram type and
- on the complexity of the shapes which are distorted in the cartogram.
I would suggest that many of the drawbacks of cartograms can be solved or at least mitigated by a linked view: the bar graph provides the precise quantitative information (something that is hardly possible with a cartogram and also not easily extracted from a thematic map); the map offers the users a frame of reference, enabling them to make a better judgement of the distortions in the cartogram – even if the users are not familiar with the geography at hand.
Despite potential drawbacks in terms of effectiveness, I think cartograms can be especially attractive visualizations and that they usually draw people’s attention because of their unusual look. This makes them probably quite good vehicles for raising awareness. I think that is why, for example, Worldmapper relies on cartograms for their visualizations (go take a look, but come back).

Types of cartograms (Cartogram Central, NCGIA, University of California Santa Barbara)
Of the various kinds of cartograms I had looked into before designing mine, I finally opted for the quite common contiguous cartogram (see above), mainly because I don’t quite like the gaps and broken sense of topology in non-contiguous cartograms and in the classic Dorling cartograms.
Hexagons
The contiguous cartogram I implemented is hexagon-based. This is an idea I got from Leicestershire (UK) when I was researching cartograms. Leicestershire or the UK in general has the concept of Lower Super Output Areas (LSOAs). These conveniently contain roughly 1,500 residents each. So Leicestershire Statistics and Research Online could use them as base-units for their hexagonal cartograms, one of which is shown below.

Population-density cartogram showing crime counts
Unfortunately, LSOAs or anything similar do not exist in Switzerland, so I had to come up with a method to produce them (but I will postpone the details to the technical part of this blog post). In any case, i found the hexagonal cartogram design both appealing and inherently sensible. Even more, although I was dealing with cantons and cities (each of which would be made up of many hexagons), I found including the hexagonal structure in the final cartogram useful:
- The hexagons allow a rough estimate of the total population of a region by discretising the space each canton or city takes up in the cartogram.
- Second (and connected to the preceding point), the hexagons in the display improve comparability of regions.
- The hexagonal structure enforces a degree of generalisation, which is a very important step for producing high-quality maps.
- Finally, the hexagons make it immediately clear that the cartogram is an artificial representation.

Close-up view of the cartogram’s hexagons
The last point touches an important usability issue, in my opinion: Thanks to the hexagonal structure, there is no confusing the distorted and discretised outlines of the cartogram with actual, unmanipulated outlines – irrespective of potential unfamiliarity with the territory or of taking the cartogram out of context.
The enforced generalisation on the other hand alleviates some of the drawbacks of cartograms, or at least what I perceive as drawbacks: Since the hexagons define a minimum width and area of features, they remove some of the very distorted, “melted” look of the original Gastner–Newman cartogram with partly very thin and elongated features.
I think, with all these features and with labeling it might even have been possible to make the cartogram work well on its own (without the linked views in my visualisation). But – without having any research to prove it (hint, hint, geoviz researchers) – I find the additional, undistorted map and the bar chart provide better context and allow for an improved appreciation of the cartogram.
Colours
The colour scheme is inspired by one of the diverging schemes from Cynthia Brewer’s great Colorbrewer tool (brief reviews by myself of this and other related tools can be found here; there is also a Javascript version of Colorbrewer). The colour scheme I chose should be colourblind-safe and print-friendly.
Lastly, on hovering over a map or cartogram object with the mouse pointer, the respective entity is highlighted subtlely using a slightly more saturated green/purple fill, in addition to changing its outline colour.
With this glimpse into my conceptual considerations about producing this particular visualization I conclude my first blogpost on the topic. In a second post (which I have yet to write), I will give the technical specifics of my approach so that you will be able to produce your own cartogram. Stay tuned – via Twitter, RSS or email subscription (see top-right)!
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20:01 Tweeting the AAGs: Do Geographers Geotag more than Everyone Else?Directions Magazine - Top Stories
sur Planet Geospatial - http://planetgs.comNow that we've all had a couple of weeks after the AAGs to relax and make fun of certain unnamed party-animals, we thought we would reflect on how the conference itself was reflected in the Twittersphere. With comments abound that there was more conference-related Twitter activity than ever before, we wanted to see if we couldn't uncover some more specific trends. -
19:33 Privacy and personal geographic dataBetween the Poles
sur Planet Geospatial - http://planetgs.comAt the Creating the Policy and Legal Framework for a Location-enabled Society conference in Boston, Kirk Goldsberry, who is a Visiting Scholar at the Center for Geographic Analysis at Harvard, gave a fascinatng presentation with the help of two of his students on the topic of personal geographic data and privacy.
According the the Federal Trace Commission, which is responsible for protecting privacy at the Federal level, the 4 holy data types are
- Financial data
- Medical data
- Data about children
- Geographic data
Goldsberry's main point was that the first three are treated as very sensitive and there is a legal framework to ensure these data types are protected. When it comes to geographic data, on the other hand, there is very little by way of policy or legal infrastructure ro protect personal geographic data.
As an example he cited the iPhone. About two years ago it was disclosed that iOS
devices maintain a database that potentially could be used to track the movements of users. In response Steve Jobs in an email said that "We don't track anyone. The info circulating around is false."
Without the user's explicit consent iOS doesn't record GPS location, but does record the location of cell towers and Wi-Fi access points, which can be used to create a clear general track of a user's movements.
To show what was possible with this iOS database, two of Goldsberry's students voluteered to carry an iPhone (with location disabled) for a couple of weeks. Goldsberry used the iOS database recording cell towers and Wi-Fi access points to put together maps that showed pretty clearly where the students had been including long distance trips and their daily routines.
For example, one student had travelled to Seattle for a conference and had stayed in a hotel. The student's location at and around the hotel and conference were not hard to discern. The student went to a Mariner's game and from the location determined through the iOS database it was very clear that the student was at Safeco Field.
Limited legal and policy protection for personal geographic data
I interpreted what Goldsberry showed as not targetting Apple specifically, but that there is very little policy and legal protection for personal geographical data.
A number of speakers made the point that technology, including GPS and GIS, has moved so rapidly and regulation and legislation move so slowly that for personal geographic data, the horse has already left the barn. It is too late to close to the door.
Experiment
There is the risk that hasty legislation or regulation on privacy and personal geographic data could prevent or inhibit the very real social benefits the technology is capable of delivering. The approach that several speakers recommended is to enable governments to experiment, so that regulation or legislation on privacy of personal geographic data is able to optimally walk the fine line between protecting privacy on one hand, and enabling the social beneifts the technology is capable of on the other.
I commend Kevin Pomfret, Excecutive Director of the Center for Spatial Law and Policy, for organizing such an important conference at such a critical time for geospatial technology.
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18:38
Gaming Street View
sur Google Maps Mania
Since finding Ian Butterworth's Here Comes the Sun last week I've been having a lot of fun playing around with Google Maps Street View and CSS filters in Chrome.
Over the weekend I hacked together a little game I'm calling Blurrd. In the game the player is presented with a series of blurred Street View images. The object of the game is to press the 'reveal' button and try to guess the location before the image becomes completely clear.
The game only works in Chrome!
As ever I got bored with this project before I finished it off. The game really needs a scoring system to make it truly fun. My plan was to add a timer and to award scores based on the amount of time left when each image is correctly identified. I doubt I'll ever get around to completing this - so if there any developers out there interested in this then feel free to clone the game and add your own scoring system.
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18:09 Dev Tip – Distribute your Android Apps in the Amazon StoreAnyGeo - GIS, Maps, Mobile and Social Location Technology
sur Planet Geospatial - http://planetgs.comAre you an Android app developer? Well, given that Android is the World’s leading mobile OS it may be a good idea to think about it if you aren’t already. Some cool news for existing developers though as Amazon has … Continue reading →
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17:25 Cultural Geographer Wilbur Zelinsky Passes
sur All Points BlogThe Penn State Department of Geography shares: Professor Emeritus Wilbur Zelinsky passed peacefully at home on Saturday, May 4, 2013, surrounded by his family after a short illness. Information will be updated at  [www.geog.psu.edu] Zelinsky's writing were... Continue reading
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17:25 Cultural Geographer Wilbur Zelinsky PassesAll Points Blog
sur Planet Geospatial - http://planetgs.comThe Penn State Department of Geography shares: Professor Emeritus Wilbur Zelinsky passed peacefully at home on Saturday, May 4, 2013, surrounded by his family after a short illness. Information will be updated at [www.geog.psu.edu] Zelinsky's writing were... Continue reading
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15:29
US NGO's on Google Maps
sur Google Maps Mania
InterAction, the largest coalition of U.S. based NGOs, has created a series of Google Maps to highlight the work being done by their partners around the world.
The NGO Aid Map currently consists of 6 maps, the Mexico Aid Map, the Haiti Aid Map, the India Aid Map, the China Aid Map, the Horn of Africa Aid Map and the Food Security Aid Map. Each map displays the locations where the NGO organizations are working around the world.
Users of the map can filter the results shown on each map by country, sector and organization. If the user clicks on a marker on a map they can read a detailed description of the project being undertaken at that location.
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15:00 Solar PV on the verge of becoming a disruptive technology in the electric power industryBetween the Poles
sur Planet Geospatial - http://planetgs.comI blogged previously about a presentation that, Rod Nikula, VP Power Supply at Wright-Hennepin Cooperative Electric Assn (WH) in Minnesota, gave at this year's NRECA conference that hit on a very sensitive topic among power utilties. Companies like Solar City, a full service solar PV energy company, offer a financially attractive solar package (that does not involve the local power utility) once the power rate from the local utility reachs 14 cents/kWh or above. Solar City offers a unique leasing plan that requires no money down. It offers a flat rate for 20 years, and payments are made against savings from the monthly utility bill.
According to Rod Nikula, Solar City is taking 600 homes off the California power grid every month. Mark Vogt, CEO of WH, put two and two together and concluded that "We better find a way to be in the home generation business," or face a serious drop in revenue.
In a report by John Farrell at the Institute for Local Self-Reliance, Rooftop Revolution: Changing Everything with Cost-effective Local Solar, the levelized cost of solar PV power is compared with the cost of power from local utilities. The report conclues that right now solar PV delivers power more cheaply than the local power utility for 10% of residential demand in California, Connecticut, Hawaii, New Hampshire, and New Jersey.
By 2022 it is projected, assuming continued decreases in the cost of solar panels, that solar power will deliver power more cheaply for 10% of residential demand in 49 states, the only exception being Washington State which has the lowest power rates in the United States.
Furthermore according to another report Commercial Rooftop Revolution, solar PV installed by businesses is projected to be competitive with at least 10% of commercial power demand in the United States by 2022.
As ponted out in a recent article in IEEE Spectrum, Farrel's asumptions are fairly conservative - the most important assumption is that the driver behind these projections are technology and industrial efficiency. Farrell also assumes that utility power rates will continue to rise about 2% per year. Most importantly, he does not include government subsidies in his projections of the cost of solar PV.
Farrel's conclusion (both of his reports have the word "revolution" in their titles) is that solar PV is poised to dramatically change the electric power industry as we know it. Wright-Hennepin Cooperative Electric Assn (WH) is one of the utilities that has recognized this trend and is trying to do something about it, by getting into the residential solar PV business.








