Planet Georezo » May 19, 2011

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19 mai 2011
22:38
LiDAR News: RQ-170 Stealth Drone
sur Planet Geospatial - http://planetgs.com

there is little question that LiDAR played a role, and probably a key one in the planning for the raid on Osama bin Laden's compound. Continue reading →

Click Title to Continue Reading...
21:55
AnyGeo - GIS, Maps, Mobile and Social Location Technology: 10 Tweets of Interest From the Geo Twitter Sphere
sur Planet Geospatial - http://planetgs.com

Tweets come and go so fast and it’s so easy to miss out on some great tips – I once read that they estimate over 95% of tweets are never even seen! That’s why I like to “fave” items of interest and then periodically share them here for all to enjoy. The following are a [...]
21:32
aerial-survey-base: In-situ camera calibration for analog & digital mapping cameras
sur Planet Geospatial - http://planetgs.com

With the recent announcement by the USGS at the ASPRS 2011 Conference in Milwaukee that they no longer intend to provide camera calibration or digital aerial type certifications past the end of 2012, anyone wishing to continue using their analog film camera will require it to be calibrated In-situ using a well-controlled photogrammetric process. The ...

21:16
Fernando Quadro: GeoServer 2.1.0 Released
sur Planet OSGeo
O GeoServer 2.1.0 foi lançado na semana passada, após quase um ano inteiro de trabalho de desenvolvimento. Você pode ler sobre os detalhes de todas as novidades no Blog do GeoServer.

Há mais de uma dúzia de novas funcionalidades, algumas delas propiciando grandes melhorias como o WMS 1.3, WMS em cascata, os serviços virtuais, a integração direta com o GeoWebCache. O que todos estes novos recursos têm em comum? Eles foram todos financiados por organizações que estão usando o GeoServer e querem vê-lo se desenvolver e prosperar. Alguns dos itens citados foram possíveis graças à OpenPlans, alguns outros por outras empresas, como a GeoSolutions e a Refractions Research. Essas organizações podem não ter muito em comum operacionalmente, mas o seu financiamento tem feito uma ferramenta de software ainda mais valioso para todos.

Abaixo segue a lista da funcionalidades e os responsáveis por elas:

* WMS 1.3.0 – Ordnance Survey
* Limites WCS – MassGIS
* Camadas SQL – OBIS
* Serviços Virtual – Landgate
* Unidade de medida e escala DPI – SWECO e Malmö City of Sweden
* WMS Cascading – Universidade de Perugia
Posts Relacionados

20:58
Lin.ear th.inking: JTS arrives in JavaScript
sur Planet Geospatial - http://planetgs.com
As I predicted back in 2008, JTS has now colonized the JavaScript ecosystem, thanks to the work of Bjorn Hartell on JSTS. At least, the project has been launched - it's a bit unclear as to how much functionality is actually there.

I hope to see some slick browser-based UI clients pop up, using Canvas or perhaps SVG?

The language scorecard for JTS now looks like:
- JTS - Java (and Groovy, Scala, Jython, etc)
- GEOS - C/C++
- MS .NET - NET Topology Suite
- Shapely - Python (via GEOS)
- Ruby - via GEOS
- JSTS - JavaScript

20:14
Global Musical Tastes on Google Maps
sur Google Maps Mania

Global Billboard

Smells Like Teen Spirit is going down a storm in Russia this week with over a thousand fans on Last.fm. Whilst in the USA over 7,000 listeners are Rolling in the Deep with Adele.

Global Billboard visualises the popularity of top artists and top tracks on Last.fm in (nearly) every country in the world, and in more than 200 metro areas. Using the map it is possible to check out which are the most listened to artists and tracks on Last.fm in different countries.

_________________

20:08
Yahoo! Maps, Bing and Google [Oh My]!
sur Planet Geospatial - http://planetgs.com

This gem was shared by Marc Prioleau.

Internet firm Yahoo (NASDAQ: YHOO) may replace its Geo-Platform with Google’s (NASDAQ:GOOG), a move that could reduce its operating costs by about 2 percent to 5 percent, according to an analyst at Global Equities Research.

“Yahoo Geo-platform is lagging behind both Google and Microsoft Geo-Platform,” analyst Trip Chowdhry wrote in a note to clients.

Adena Schutzberg cuts to the chase:

There are so many errors in the IB Times article discussing the note, errors I fear are from the original note, I am very skeptical.

My Grandmother, bless her heart, always told me; “If you don’t know what you are talking about, keep your mouth shut!”. Clearly that doesn’t apply to “analysts”. To be fair, he did call Salesforce.com a “modern day Visi-Calc”. Wait, that wasn’t right…
20:02
Urban Mapping Blog: Oracle Spatial + Mapfluence = On-demand Enterprise Goodness
sur Planet Geospatial - http://planetgs.com

On the heels of the Oracle Spatial user conference in Washington, DC, we’re thrilled to announce an agreement with Oracle that enables Fusion Middleware’s MapViewer to include direct access to Mapfluence. Oracle customers can now easily leverage Urban Mapping’s expansive on-demand data catalog serving many industry segments. Interested Oracle customers may inquire at urbanmapping.com/oracle [...]
18:57
LiDAR News: Remote Sensing Intelligence Assistantships Available
sur Planet Geospatial - http://planetgs.com

This sounds like a great educational opportunity to attend the US Navy Post Graduate School and earn a Masters degree in Remote Sensing Intelligence. Continue reading →

Click Title to Continue Reading...
18:46
Conflict and disaster management in a hyperconnected world – cooperative, collaborative, real time | acidlabs
sur Planet Geospatial - http://planetgs.com

Conflict and disaster management in a hyperconnected world — cooperative, collaborative, real time by Stephen Collins, Acid Labs, May 19, 2011 Engagement with connected networks of volunteers outside the official civil-military sector has the potential to see a measurable increase in situational awareness during ongoing and emergent crisis situations. These networks, their culture and the tools they [...]
18:20
AnyGeo - GIS, Maps, Mobile and Social Location Technology: Stay Safe – imapWeather radio for iPhone – free today
sur Planet Geospatial - http://planetgs.com

Here’s an awesome deal for an awesome and useful app for iPhone users – iMapWeather Radio. With storm season upon us and severe weather common in places, staying informed of emergency alerts and notifications can be a life saver.

iMapWeather is an app that can deliver notifications about tornado, thunder storms and hurricane related severe weather. [...]
18:16
Arc2Earth: Google IO Recap
sur Planet Geospatial - http://planetgs.com
We had a very successful Google IO this year, many thanks to Google for inviting us to the Geo Developer Sandbox. Thanks also to everyone who stopped by, I have to admit there were a lot more “traditional GIS” folks there then I initially expected. As for those who had no idea what GIS was and still stopped by to chat, well, that is also the beauty of conference like IO. Everyone, regardless of their background or marketplace, was more then happy to listen and learn about something new. Lots of energy throughout the entire conference

I also participated in the GIS talk given by Google’s Mano Marks and Josh Livni. And by participate, I mean jam as much information into 10 minutes as possible while trying not to mess up some live demos. Here’s the link to the session. The room was about three quarters full which is much better then expected given the topic and timeslot.

My only regrets for the week were
- a) not going up to Sergei and saying hi (he was actively wandering the conference, mostly by himself without a huge entourage)
- and b) not trying the indoor stair-slide in the Google SF office
18:07
Spatial Sustain: George Washington’s Surveying Tools Up for Auction
sur Planet Geospatial - http://planetgs.com

An upcoming auction in Dallas this weekend features some instruments that George Washington used for land surveying. The auction of items passed down in Washington’s family include a compass (estimated at $40,000), a Gunter’s Scale (estimated at $30,000), and letters commissioning him to do survey work on land in Virginia. The surveying equipment is of [...]

17:50
[La Minute GeoRezo] BIG, le nouveau blog hébergé par GeoRezo
sur GeoRezo.net - Géoblogs

Toute l'équipe du portail GeoRezo vous annonce la naissance de BIG aujourd'hui (19 Mai 2011) !
Derrière l’acronyme BIG se cache le “Blog Interopérabilité & GéoInformation”.
BIG est un blog collectif « trans-communautés » qui a comme objectif de constituer un espace d’échange et de partage sur l’actualité de l’Interopérabilité et de la Géoinformation :

?    Retour d’expériences,
?    Actualités des communautés,
?    Informations sur des projets en cours,
?    Questions / réponses sur la « géointerop »…

Il s’agit en quelque sorte d’un lieu de rencontre virtuel entre les experts et les néophytes de l’interopérabilité géospatiale.

Une seule adresse à retenir... [georezo.net]

BIG est une initiative des membres du Forum OGC France et de la Commission information géographique de l’AFNOR.
Les rédacteurs actuels de la BIG Team sont :
Emmanuel Mondon (ERDAS), Eric Mauvière (GéoClip), François Robida (BRGM), François Salgé (MEEDTM), Gilles Gesquière (LSIS), Ghislaine Amm Magnan (AFNOR), Henri Pornon (IETI Consultants), Hervé Caumont (ERDAS), Matthieu Ambrosy (Veremes), Nicolas Lesage (IGN), Nicolas Klein (STAR-APIC), Olivier Gayte (Veremes), Pierre Lagarde (BRGM), Pierre-André Le NY (Géomatys).

Bienvenue donc parmi les blogs de GeoRezo, et longue vie à BIG

L'équipe GeoRezo

17:38
James Fee GIS Blog: ArcPy + Visual Studio 2010
sur Planet Geospatial - http://planetgs.com
Yea so maybe you like Visual Studio 2010 ¹ and want to write some ArcPy goodness. You’ve installed PythonTools for Visual Studio, but where is the ArcPy Intellisense? Right here my friends!

Update: David Howes has a detailed walkthrough on how to accomplish this.

Clearly Visual Studio and Python are teaming up in 2011. I just want to know which one is the octopus and which one is the ice unicycle…

Notes:
1. It isn’t that I dislike it, I just use a Mac these days… ↩

17:38
ArcPy + Visual Studio 2010
sur James Fee GIS Blog
Yea so maybe you like Visual Studio 2010 ¹ and want to write some ArcPy goodness. You’ve installed PythonTools for Visual Studio, but where is the ArcPy Intellisense? Right here my friends!

Update: David Howes has a detailed walkthrough on how to accomplish this.

Clearly Visual Studio and Python are teaming up in 2011. I just want to know which one is the octopus and which one is the ice unicycle…

Notes:
1. It isn’t that I dislike it, I just use a Mac these days… ↩

17:30
Newsletter - mai 2011
sur Articque - Les Sytèmes d'Analyse Géographique, la cartographie, le géomarketing et la géostatistique
Newsletter n°32 - mai 2011 Sommaire :
- MapInXL arrive en France
- Le succès des tableaux de bord de cartographie dynamique
- Cartes & Données 6
- 5 à 7 Umanis

17:15
GeoJason: GeoJSON Tiles with MapFish
sur Planet Geospatial - http://planetgs.com
Polymaps
When SimpleGeo announced Polymaps back in August the geo community was quick to notice the potential of this modern web mapping library. We could now visualize our vector-based datasets with complex geometry without the need for generating tile sets with staggering numbers of images, only to have to re-generate these tiles as the geometry behind them changes. But this announcement also prompted a few folks to ask the question, “How do I generate these GeoJSON tiles?”

There are only a few solutions that I know of. TileStache is a python-based web application that can stream and cache (I think) GeoJSON tiles among other formats. Arc2Earth supports streaming GeoJSON tiles from any datasource in an Arc2Earth or Arc2Cloud instance by using the “tiles” endpoint [my-a2e-instance.appspot.com]

A few projects I’ve been working on recently have been using MapFish, which is an open source framework for creating web mapping applications. MapFish is built on the Pylons web framework and integrates tightly with a number of other open source projects (SQLAlchemy, GeoAlchemy, Shapely). It’s got two core components:
1. a RIA-oriented JavaScript toolset for the client side (of which I have admittedly zero experience)
2. a server framework for creating web services to Create, Read, Update and Delete features (CRUD) via HTTP POST, GET, PUT and DELETEs
While pondering home-grown solutions to stream GeoJSON tiles to the client, I realized that MapFish had all of the components needed to perform the conversion of a typical map tile request [my-geo-app.com] into a GeoJSON FeatureCollection, which is what Polymaps needs to display features.
The Solution
What we need to do is take a layer request that contains a zoom level, an X and a Y coordinate and then somehow create a bounding box in our layer’s coordinate system (SRID 4326). The first step is to properly route the request to its appropriate controller and action. We can easily do this by editing the routing.py in our MapFish config directory.

A vector tile request might look like: [my-mapfish-app.com]

Our tile requests should now be forwarded to the “geojson” controller. The controller simply takes the request and related variables (Z, X and Y in our case) and calls geojson method of the controller class.

Protocol’s geojson method is really where all of the magic happens. Here we pass our x, y and z variables and, with the help of Shapely, create a Polygon (line 46). This is the bounding box of the requested tile. Now we convert the Shapely polygon into the well known binary geometry we need for the geometry filter (lines 48 – 50). Lastly we combine the attribute and geometry filter, add the “Access-Control-Allow-Origin: *” header required for Polymaps and return to MapFish’s read method that create GeoJSON FeatureCollections from spatial and attribute queries (lines 52 – 58). Most of the code to convert tiled map requests to Lat/Lng bounding boxes comes from maptiler.org.

The Fine Print
Since I’m creating a bounding box with Lat/Lng values, your MapFish layer needs to support SRID 4326. There’s probably an easy work around for this that someone can figure out. But for me this worked as my data was already in SRID 4326.

Also, we’re not caching any of these results so that future requests to the same vector tile don’t require as much overhead. If we were to cache the tiles we’d lose the ability to add query parameters to further filter our requests.
Performance Notes
Streaming GeoJSON tiles to the client can produce some pretty nice visualizations, but there are a few things to think about. Lots of bytes are traveling from the server to your web app and you’ll want to shave off every 1 or 0 you can.

By default MapFish returns not only the GeoJSON geometry for a feature, but also a bounding box. For me it made sense to alter the source code to omit this extra (unnecessary in my case) geometry.

You’d also do yourself a favor to eliminate as many feature properties as you can. You might not think removing a handful of properties would make much of a difference, but when you’re returning scores of features within each map tile, these start to add up quickly.

The real beauty behind streaming these vector tiles is that you can simplify the geometry at the lower zoom levels but return to the full detailed geometry at the higher zoom levels. This makes sure we remove as many vertices we can when dealing with large numbers of features. I’ve left out the code for the zoom-dependent geometry simplification in this blog post to keep things as simple as possible, but feel free to contact me to get more information.
OK, Show Me
Check out the Tiled GeoJSON demo to see things in action. Remember that since we can still pass url parameters to the MapFish back-end, you can adjust the range for a few of the layer attributes.
17:12
The Map Room: PostGIS in Action in Print, Reviewed
sur Planet Geospatial - http://planetgs.com

I've been hearing about PostGIS in Action for a couple of years now, so I'm surprised that it only came out (in print form, at least) last month. Richard Marsden reviews it on Geoweb Guru: "This is the first...
17:03
The Map Room: Ordnance Survey Announces Colour-Blind Map Style
sur Planet Geospatial - http://planetgs.com

The Ordnance Survey Blog has announced a colour scheme that accomodates people with colour vision deficiency (CVD) -- i.e., colour-blindness. "Rather than creating separate colour schemes for those with various forms of CVD and those without, we were working...
16:44
The Map Room: Map Hat
sur Planet Geospatial - http://planetgs.com

Admit it: you want one of these. Via Boing Boing....
16:38
Oracle Spatial + Mapfluence = On-demand Enterprise Goodness
sur Planet Geospatial - http://planetgs.com

On the heels of the Oracle Spatial user conference in Washington, DC, we’re thrilled to announce an agreement with Oracle that enables Fusion Middleware’s MapViewer to include direct access to Mapfluence. Oracle customers can now easily leverage Urban Mapping’s expansive on-demand data catalog serving many industry segments. Interested Oracle customers may inquire at urbanmapping.com/oracle [...]
16:33
The Map Room: Comparing Canadian Federal Election Results
sur Planet Geospatial - http://planetgs.com

Michael Gregotski writes, "On one of your posts you asked if anyone else had any maps from the [Canadian] election. Here's an application I put together that compares the 2011, 2008 and 2004 results (I skipped the 2006 election becasue...
16:27
The Map Room: Library of Congress Conference on Civil War Mapping
sur Planet Geospatial - http://planetgs.com

Tomorrow at the Library of Congress: Re-Imagining the U.S. Civil War: Reconnaissance, Surveying and Cartography, a one-day conference on Civil War mapping. Free to attend and open to the public, but a reservation is required to attend. (Don't know whether...
16:20
GeoChalkboard: Introduction to Programming the Google Maps API (v3)
sur Planet Geospatial - http://planetgs.com

Enclosure: [download]

GeoSpatial Training Services is pleased to announce the release of our newest instructor guided, Internet based course, Introduction to Programming the Google Maps API. This is for version 3 of the API.

The first session of this course runs from June 20th – July 1st.

This course will be taught by Eric Pimpler, Qualified Google Maps Developer.

The first 10 students to register will receive free entry to our follow-up course, Advanced Google Maps API Programming which runs from July 11th – July 22nd.

This is our entry level programming course for the Google Maps API (version 3), and is designed to enable you to build Google Maps applications for the web. We will cover a lot of ground in this course. By the end of our time together you will understand all the basic concepts you need to create dynamic web mapping applications with the Google Maps API. We’ll start with some basic information about programming the Maps API and then we’ll dive into the longest section of our course: Basic Concepts of the Google Maps API. In this module you’ll learn how to add and remove map controls for panning, zooming, setting map types, overview map, and the scale bar. You’ll then learn how to add your own data to the map display using markers, polylines, and polygons. One of the more creative functions provided with the Google Maps API is the ability to drape images across the map. For instance, you might want to display wildlife habitats on top of Google Maps. This is done through the use of Ground Overlays. Ground Overlays allow you to drape historical map images and specific purpose maps on top of a Google base map. Building on this concept you will then learn how to add KML, GeoRSS, and FusionTables layers on top of the map. In module 3 you will learn how to handle events. Events are actions that take place in your application such as map clicks or drags. Normally they are initiated by the end user but they can also be internally generated events such as the re-setting of the map center. In module 4 you will learn how to convert addresses into geographic coordinates that can be displayed as Marker locations on the map. You’ll also learn how to take a point of interest and find the nearest address to the point. This is known as reverse geocoding. Finally, we’ll wrap up the course with a module on the Google Elevation Service. In this module you’ll learn how to obtain elevation data for a point or an elevation profiles for points along a line.

Modules
Module 1: Introduction to Programming the Google Maps API
Module 2: Basic Concepts of the Google Maps API
- Adding Controls to the Map (Zoom, Pan, Map Types, Overview Map, Scale Bar, Street View)
- Creating Overlays (Markers, Polylines, Polygons)
- Display Images with Ground Overlays
- Creating Layers (KML, GeoRSS, FusionTables)
Module 3: Handling Events
Module 4: Geocoding with the Google Maps API
- Geocoding
- Reverse Geocoding
Module 5: The Google Elevation Service

Course Exercises
Create Your First Google Map
Working with Map Options
Adding and Removing Map Controls
Adding Markers to the Map
Creating and Displaying Info Windows
Adding Ground Overlays to the Map
Display KML Files on the Map
Adding Fusion Tables to the Map
Responding to Map and Marker Events
Geocoding Addresses
Using Reverse Geocoding to Find an Address for a Location
Obtaining Elevation for Points and Paths

Register Now: $249

16:20
The Rising Cost of Gas Google Map
sur Google Maps Mania

The Take Away Gas Price Map

The Take Away want to know how rising gas prices have changed your behaviour.

Are you walking and cycling more? Have you changed your summer vacation plans? If so you can share how record gas prices have affected your life with this Google Map.

By completing a short form you can add how gas prices have affected your habits to the map. You can also add the price of gas in your area. Browsing the submitted reports on the map will also give you some handy hints on how you can cut down on your gas usage.

_________________

16:15
Adding a Fusion Table to Google Maps
sur Planet Geospatial - http://planetgs.com
Google Fusion Tables, still in the experimental stages of development, is a Google product that allows you to upload and share data in multiple tables. These tables can be joined together to create derived tables and provide a way of visualizing and sharing data. With the Fusion Tables API you can upload, query, download, and sync your datasets. The Google Maps API provides a new FusionTablesLayer object that connects to these Fusion Tables and can automatically render the location data in a Fusion Table as well as display additional information about each feature through a clickable overlay.

In this exercise you will learn how to display the Geo-tagged Wikipedia Articles Fusion Table in Google Maps.

Step 1: Open the Exercise File
- The exercise file can be downloaded here. Save the file to your computer.
- Open the file in your favorite HTML or text editor.
Step 2: Fusion Tables Basics
- Note: Before continuing with this exercise you will want to make sure that you have a Google account which is necessary to access Fusion Tables.
- Login to Fusion Tables
- Once you’ve logged into Fusion Tables use the Search text box to enter the words “Geo-tagged Wikipedia”
- This should return a relatively short list of available tables as seen in the figure below. Your results may vary though.
- Select the table that I’ve highlighted in the figure above. There should be roughly 424,000 records in this table.
- When this table is open you will notice a ‘Location’ field that contains the latitude, longitude coordinates for each record. This field needs to be present in a Fusion Table for it to be capable of being viewed in Google Maps.
- You can view the contents of this table in a Google Map by selecting Visualize –> Map.
  
  You can also use the Google Maps API to programmatically add a Fusion Table to your application. In the next step you’ll learn how to do this. However, before doing so you will need to obtain unique identifier for the table.
- Select File –> About from the Fusion Table interface. This will display a dialog box containing information about the table as seen in the figure below. Please note the ID that I have highlighted below. You will use this ID when programmatically adding this Fusion Table to a Google Map.
Step 3: Adding a Fusion Table with the Google Maps API
The FusionTablesLayer class in the Google Maps API is used to add Fusion Tables to your custom Google Maps applications. The constructor for this object takes a FusionTablesLayerOptions object which can contain properties such as map, query, heatmap, styles, and others. In this step we’ll focus on using the ‘query’ property to define the Fusion Table to add to the map.
- Add the following code block and then we’ll discuss.
  
  The ‘query’ property of the FusionTablesLayerOptions object is essentially a SQL query. The ‘select’ statement queries the ‘location’ field from table ‘423292’ which as you’ll remember from the previous step is the unique id for the Geo-tagged Wikipedia Fusion Table.
- Save your work and open in a web browser to display the data from the Fusion Table.
  You can also add a ‘where’ clause to your query to filter the results. This particular Fusion Table doesn’t include additional fields that you can use to filter the results, but you can imagine that if there were a field named ‘Country’ you could restrict the results through the addition of a ‘where’ clause that might look something like this:
Step 4: Fusion Tables Heatmaps
Fusion Tables also provide limited support for heat maps, where the density of matched locations is depicted using a palette of colors. Current heatmaps use a red (dense) to green (sparse) gradient to indicate the relative prevalence of associated locations. You enable a heatmap by setting the layer’s FusionTablesLayerOptions ‘heatmap’ parameter to ‘enabled: true’.
- Add the following code block to your exercise file to enable the heatmap for the Wikipedia Fusion Table.
- Save your work and open in a web browser to display the data as a heatmap. Pretty cool!
Want to learn more about programming the Google Maps API? The first session of our instructor guided, web based course, Introduction to Programming the Google Maps API begins June 20th and runs through July 1st. Course cost is $249.00. The first 10 students receive a free pass to our follow-up course Advanced Google Maps API Programming which runs from July 11th-July 22nd. Both courses are taught by Eric Pimpler, Qualified Google Maps API Developer.
15:59
The Map Room: Southeast U.S. Tornado Tracks
sur Planet Geospatial - http://planetgs.com

It's amazing how clear the damage from tornadoes appears in satellite imagery. Above, an ASTER visible-infrared image of a tornado's path near Tuscaloosa, Alabama: "In the picture, captured just days after the storm, pink represents vegetation and aqua is...

15:53
UDIG Team: Image Georeferencing View RC3 for uDig 1.2.1
sur Planet OSGeo

We have released the Image Georeferencing View RC-3. It includes some new user interface features that show the relations between image's marks and the set of gound control points. New tools have been inlcuded in order to manipulate the image and the ground control points.

Finally, the Help (draft) is available too.

To know more about this project, please, go to Axios Community Space.

15:46
A Jetsons-Like Future: Tiny Robots that Can Map the Inside of Buildings
sur Planet Geospatial - http://planetgs.com

Did you ever visit the Epcot Center in the 1980s when it first opened up? Many of their interactive rides showcased what the future would be like in the 2000s. And, yes, it was a George Jetson-like futuristic vision that had us living on other planets and robots were the norm. We would all have an ever helpful robotic maid named Rosie and work at Spacely Sprockets. Well, it’s 2011 and things are pretty much the same as they were in the 1980s with the exception of our addictions to the Internet, iPads and other mobile devices. However researchers from the Georgia Institute of Technology and the University of Pennsylvania and the California Institute of Technology Jet Propulsion Laboratory is changing all of this with the creation of tiny robots that can map the inside of a building.

These robots can work by themselves and communicate only with one another. The vehicles can divide up a variety of exploration tasks — and within minutes have transmitted a detailed floor map to humans nearby.

“When first responders — whether it’s a firefighter in downtown Atlanta or a soldier overseas — confront an unfamiliar structure, it’s very stressful and potentially dangerous because they have limited knowledge of what they’re dealing with,” said Henrik Christensen, a team member who is a professor in the Georgia Tech College of Computing and director of the Robotics and Intelligent Machines Center there. “If those first responders could send in robots that would quickly search the structure and send back a map, they’d have a much better sense of what to expect and they’d feel more confident.”

Wow. Perhaps the visionaries behind the Epcot Center were right after all? Though we are still waiting for space cars to be invented. The Beltway traffic is getting to be too much.
15:41
The Map Room: Because Atlases Should Be Bigger than You
sur Planet Geospatial - http://planetgs.com

If the 18½×24-inch, $4,000, limited-edition Earth atlas wasn't exclusive or enormous enough for you, how about the six-foot-by-four-and-a-half-foot, 264-pound, $100,000, 31-copy platinum edition? Klencke's got some competition, I see. Coverage in the spring 2011 issue of ArcNews. Previously: World's Largest...
15:30
The Map Room: 2012 Olympic Torch Relay Map
sur Planet Geospatial - http://planetgs.com

BBC News's map of the 2012 Olympic torch relay route doesn't actually include the route, just the places the relay will be passing through; I imagine the exact route is to be determined. Via @HodderGeography....
15:04
Ogle Earth: Phylogenetic trees in Google Earth, redux
sur Planet Geospatial - http://planetgs.com

Starting in 2006, several people were experimenting with phylogenetic tree structures visualized in Google Earth, and these experiments were blogged here, here, here and here. Unfortunately, most of these experiments are no longer online, so those articles are now linking to nonexistent pages.

But that doesn’t mean that these kinds of visualizations have stopped filling a need. Most recently, Christian Anderson went looking for a script to build phylogenetic trees in Google Earth, couldn’t find the ones linked to here in Ogle Earth, and so decided to build his own.

He sent over the result, and it is worth posting here for the sake of future web searches. This is a zip file containing the a script written in the R language, as well as a sample KML file.
Tweet

14:39
arcOpole a 2 ans !
sur arcOpole - Actualité du Programme

Cela fait maintenant 2 ans que le programme arcOpole regroupe les professionnels du SIG Esri œuvrant dans les collectivités territoriales.

En chiffre, arcOpole c'est aujourd'hui :

Votre nombre en croissance constante ainsi que l'explosion des téléchargements cette année nous motivent tous les jours : merci de votre confiance.

L'avenir est en marche, alors restez nous fidèles et découvr

14:34
Brazilian Bike Routes on Google Maps
sur Google Maps Mania

En Vou de Bike

En Vou de Bike is a Brazilian bike route generator with some nice features.

En Vou de Bike uses Google Maps to provide bike directions. To add a starting point to the map you can just drag the green bike icon onto the map. To add your destination you can drag the red 'pare' icon to the location you wish to end up.

Your route is then calculated and displayed on the map and the directions are shown in the map sidebar. Each route generated is saved and you can browse the already generated routes on the Mapas e Rotas.

_________________

14:16
Spatial Sustain: New Mobile Platform Sets the Stage for Car As Sensor
sur Planet Geospatial - http://planetgs.com

A new in-car platform for intelligent wireless communication and networking debuted at Automotive week in the Netherlands this week. The new platform combines telematics and secure networking to allow cars to communicate with each other and to communicate with intelligent transportation systems. The platform demonstration is part of a larger Dutch government project called Strategic [...]
14:08
Google Earth Blog: Blue Marble in the year 3000
sur Planet Geospatial - http://planetgs.com

Ever since Frank put together the "Blue Marble" overlay, it's been one of my favorite overlays for Google Earth. I leave it on almost all the time, because it creates such a nice view of the earth when seen from very high altitudes.

Of course, the Blue Marble only shows how the Earth looks right now. What if you could see the past (and future) of our planet with a similar overlay? That's what the folks at ZHAW have put together, and it's quite impressive. They've created a few animations that show changes in the Earth's glaciers, vegetation and sea levels throughout the years. Here's a look at their "Blue Marble 3000" animation, which begins 21,000 years ago, and ends in the year 3000.

They also have a version of it that starts with present-day Earth and goes until the year 10,000:

In addition to the views, they've created overlays that you can use inside of Google Earth. You can find more info about Blue Marble 3000 here, and Blue Marble 10,000 here.

They collected the data from a variety of sources, and certainly had to make some estimations for future ice and shorelines. Still, it's an interesting look at where we've been and where we might be heading.
12:40
All Points Blog: Oracle Exadata Database Machine the Focus of Oracle Spatial User Conference
sur Planet Geospatial - http://planetgs.com

Jim Steiner, Oracle's VP of Server Technology, opened the Oracle Spatial User Conference by talking about the focus of the event which was "extreme spatial performance and the introduction of Oracle's Exalogic Elastic Cloud and the Exadata Database Machine. Steiner said that the Exadata... Continue reading

12:40
Oracle Exadata Database Maching the Focus of Oracle Spatial User Conference
sur All Points Blog

Jim Steiner, Oracle's VP of Server Technology, opened the Oracle Spatial User Conference by talking about the focus of the event which was "extreme spatial performance and the introduction of Oracle's Exalogic Elastic Cloud and the Exadata Database Machine. Steiner said that the Exadata... Continue reading

12:34
UK Ethnicity on Google Maps
sur Google Maps Mania

Ethnic Breakdown for England and Wales

In the UK the Office for National Statistics has released data showing how many people from each ethnic group are estimated to live where across England and Wales. The Guardian has used the data to create this Google Map.

It is possible to select the ethnic group you wish to view on the map from a drop-down menu. The map then updates to show the percentages of that group living across England and Wales.

The Guardian received a lot of negative comments for it's Google Map of the UK Alternative Vote Referendum a couple of weeks ago. Readers were very unimpressed that the AV map didn't have a map key. The Guardian seem to have listened to the criticisms and for this map have provided a key that updates automatically for each ethnic group selected.

_________________

12:33
All Points Blog: Quote of the Week – 5/19/11
sur Planet Geospatial - http://planetgs.com

"We haven't lost a single customer." - Telmap Chief Marketing Officer Motti Kushnir explaining the impact of the launch of Google and Nokia's free mapping services on the company at the Reuters Global Technology Summit in Paris as quoted by Reuters. ... Continue reading

12:33
Quote of the Week - 5/19/11
sur All Points Blog

"We haven't lost a single customer." - Telmap Chief Marketing Officer Motti Kushnir explaining the impact of the launch of Google and Nokia's free mapping services on the company at the Reuters Global Technology Summit in Paris as quoted by Reuters. ... Continue reading

12:29
17/05/2011 : La version 3.3 de Geographic Imager pour Adobe Photoshop CS3, CS4 et CS5.x est disponible.
sur SIG la lettre : divers

Un plus grand nombre de nouvelles fonctionnalités est prévu pour la prochaine version de Geographic Imager.
- Communiqués de presse
12:26
17/05/2011 : Les français redistribuent les cartes de la consommation
sur SIG la lettre : divers

Une nouvelle enquête TNS Sofres/GeoConcept révèle les tendances de la fréquentation des canaux de vente et de la mobilité des consommateurs
- Communiqués de presse
12:20
17/05/2011 : VirtuelCity présent à la seconde édition de Digipolis, à Montbéliard, forum des solutions numériques pour aménager, gérer et les valoriser les territoires.
sur SIG la lettre : divers

17/05/2011 : VirtuelCity présent à la seconde édition de Digipolis, à Montbéliard, forum des solutions numériques pour aménager, gérer et les valoriser les territoires.
- Communiqués de presse

11:52
All Points Blog: LightSquared Update 5/19/11
sur Planet Geospatial - http://planetgs.com

With large area testing for interference of its system with GPS to begin next Monday in Las Vegas, LightSquared has announced the commercial rollout of its service has been pushed out to early next year, instead of by the end of this year. - Fierce Wireless - Light Reading ... Continue reading

11:52
LightSquared Update 5/19/11
sur All Points Blog

With large area testing for interference of its system with GPS to begin next Monday in Las Vegas, LightSquared has announced the commercial rollout of its service has been pushed out to early next year, instead of by the end of this year. - Fierce Wireless - Light Reading ... Continue reading

10:00
All Points Blog: Want to be CEO or Fund QuantGeo?
sur Planet Geospatial - http://planetgs.com

QuantGeo needs both a CEO and funding to launch its hyperlocal real estate data offering. I didn't follow the (too long) video on exactly what problem they are solving found on the company homepage. I found the CEO and funding ad on craiglist. ... Continue reading

10:00
Want to be CEO or Fund QuantGeo?
sur All Points Blog

QuantGeo needs both a CEO and funding to launch its hyperlocal real estate data offering. I didn't follow the (too long) video on exactly what problem they are solving found on the company homepage. I found the CEO and funding ad on craiglist. ... Continue reading

4:09
Matt Sheehan: BlackBerry PlayBook: An Open Source (OpenScales) GIS Mobile Map Application Demo
sur Planet OSGeo

For some time, we have wanted to develop an open source mobile AIR application, running on the BlackBerry PlayBook. This is a video of the actual device, demonstrating some of the core functionality of an OpenScales mobile application:

2:20
[Blog Interopérabilité & GéoInformation] « Human to Human » au « Machine to Machine » : problèmes identifiés
sur GeoRezo.net - Géoblogs

Voici l'épisode 2/3 de l'article « Human to Human » au « Machine to Machine » :
Problèmes identifiés
Il faut en premier lieu signaler que le gestionnaire des données en reste souvent dans la pratique au renseignement de métadonnées de découverte, alors que les métadonnées d’usage (exploration et exploitation), qui seraient pourtant très utiles, sont pour le moment pauvres et peu utilisables : par exemple « qualité », précision, complétude…

Divers problèmes ont par ailleurs déjà été identifiés. Ils concernent l’identification des données et des services, leur qualification et leur sélection, puis enfin leur utilisation. Ces problèmes ont une expression « Human » et une expression « Machine ». Ainsi le problème de la sélection des métadonnées pertinentes se pose dans les deux cas, mais de façon probablement différente. Le fait que certains processus s’exécutent sans intervention humaine et de façon automatisée recouvre des problématiques particulières.
Identification
Identifier les catalogues de métadonnées pertinents
Comment savoir où aller chercher des métadonnées ?

HUMAN : la première difficulté que rencontre la personne qui cherche des données ou des services est d’identifier les sites mettant des métadonnées en ligne pertinentes dans le domaine ou le territoire recherché. Elle pose la question de méta-annuaires ou de la centralisation des métadonnées. Il est certain qu’après avoir identifié des catalogues, la personne va en priorité effectuer ses recherches sur ceux qui semblent concerner plus spécifiquement le territoire et/ou la thématique recherchée.

COMPUTER. Aujourd’hui, un système informatique ne peut aller chercher des métadonnées que dans des catalogues dont on lui a fournit les références, donc prédéfinis. Il ne dispose pas de moyens lui permettant d’effectuer une présélection géographique ou thématique, cette sélection ne pouvant se faire qu’au niveau des métadonnées, par les mots clés et les emprises (‘bounding boxes’).
Ne récupérer que des métadonnées pertinentes
Comment faire en sorte qu’une requête renvoie le plus de données pertinentes possible et si possible, ne renvoie que des données pertinentes ?

En principe, les mots clés permettent cette sélection, mais l’expérience montre d’une part, que la profusion de mots clés dans les métadonnées conduit à la sélection de métadonnées non pertinentes, d’autre part, à l’inverse, que des métadonnées pertinentes ne sont pas sélectionnées car les mots clés ne sont pas suffisamment standardisés ou sont incomplets.

Une différence entre le mode humain et le mode informatisé provient du fait que le premier tolère et est capable d’exploiter une certaine ambiguïté des concepts ou est capable d’établir des correspondances tout seul (si PLU ne donne rien, il tentera urbanisme ou zone de construction), alors que le second ne peut que combiner des concepts qui ont été préalablement associés et n’a pas la capacité de passer d’un niveau à l’autre dans l’exécution d’une indexation.

De fait, la préoccupation de disposer de mots clés pertinents semble aboutir à deux logiques inverses, suivant qu’on est dans le mode humain ou le mode informatisé. Le premier étant susceptible de rechercher des métadonnées à partir de vocabulaires très différents dans leur richesse sémantique et étant capable d’effectuer des tris et sélection à partir de processus cognitifs très complexes, peut tirer profit de mots clés peu standardisés et peut aboutir à une sélection plus restreinte et plus pertinente, pourvu que les mots clés aient été correctement renseignés. Le second, ne peut tirer profit que de mots clés standardisés dans des nomenclatures, thésaurus ou ontologies et n’a pas la capacité d’analyse et de sélection du premier.

Les mots clés et descriptions textuelles sont donc peu précis et difficiles à utiliser : comment traiter les problèmes sémantiques tels que : une recherche sur PLU dans le géocatalogue ramène des métadonnées de zonages de PLU, des métadonnées sur les communes qui disposent de PLU et des métadonnées dans lesquels on trouve la syllabe « plu » (exemple : des réserves naturelles dont la délimitation doit être reportée au PLU, des zonages de SCOT, un guide méthodologique concernant l’évaluation des PLU, etc).

La situation est donc un peu paradoxale : plus les mots clés sont spécifiques et diversifiés, plus l’utilisateur humain pourra spécifier ses requêtes et récupérer des listes pertinentes, mais moins le système informatique trouvera de réponses à ces requêtes. A l’inverse, plus les mots clés seront génériques, plus ils seront accessibles au système informatique, mais plus l’utilisateur humain risque d’avoir de réponses non pertinentes à ses requêtes.

La réponse à cette difficulté réside-t-elle seulement dans le fait de disposer de thésaurus et ontologie riches et d’en imposer l’utilisation aux acteurs qui renseignent des métadonnées ? D’interdire le renseignement de mots clés spécifiques hors thésaurus ?

Un autre problème concerne également la définition des emprises (‘bounding boxes’), pas toujours correctement renseignés ou le fait que les rectangles englobant conduisent à récupérer des données sur d’autres territoires. L’utilisateur humain a rapidement la capacité d’éliminer un résultat de requête non pertinent sur d’autres critères. Dans sa recherche de PLU sur la Saône et Loire, il éliminera rapidement les métadonnées concernant les PLU de la Nièvre ou de l’Ain sur le seul titre des métadonnées, ce que le système informatique n’est pas en mesure de faire facilement.

Problème des recherches multilingues. Comment gérer le problème des mots clés dans un contexte multilingue ?

L’utilisateur ou le système informatique peuvent-ils espérer dans une même requête accéder à des données disponibles dans plusieurs langues et/ou provenant de plusieurs pays ?

Certains moyens d’identification sont précis : thésaurus standardisés communs à plusieurs pays, catégories INSPIRE, nomenclature ISO 19115 (souvent inadaptée aux contextes), mots clés géographiques quand il s’agit de zonages renseignés à partir de thésaurus (en France : régions, départements et communes).

Ils peuvent cependant poser un problème lié à l’exécution de requêtes multilingues. Il faut, soit, que les catégories INSPIRE ou ISO 19115 (par exemple) soient encodées de façon à ce que le requêteur effectue des recherches sur le code plutôt que sur le nom, soit que l’on dispose de nomenclatures multilingues, disposant de différentes traductions, soit que l’on dispose d’outils de traduction de nomenclatures et index. Mais dans ce cas, il ne s’agit que de problème de traduction, les concepts étant supposés communs aux différentes langues de renseignement des métadonnées.

Les thésaurus standardisés spécifiques à un pays facilitent la requête dans leur pays d’origine, mais sont vus dans le cas d’une requête multilingue ou multi-pays comme les mots clés et descriptions textuelles que nous abordons ensuite. Ils offrent des moyens d’identification standardisés dans leur langue, mais doivent être traduits pour qu’un utilisateur d’une autre langue puisse les utiliser, et il n’y a pas forcément correspondance entre les concepts qu’ils décrivent dans le pays concerné et les concepts similaires dans les autres pays.

Les mots clés et descriptions textuelles sont encore moins précis et encore plus difficiles à utiliser dans le cas de recherches multilingues : il faudrait en effet que l’utilisateur humain d’un pays connaisse les terminologies des divers pays concernés par sa requête : il est aussi démuni que le système informatique et se voit obligé de focaliser ses critères sur des éléments de catégorisation multilingues.
Comment comparer les données et/ou les services ?
Pour l’utilisateur « HUMAN », l’examen des diverses métadonnées collectées peut être long et fastidieux mais il dispose de moyens cognitifs pour distinguer les données et choisir celles qui lui conviennent. L’utilisateur « COMPUTER » est rarement en capacité de comparer les services et de choisir automatiquement le plus pertinent. Il ne peut choisir que sur des critères précis : emprise ou nom de territoire, mots clés issus de thésaurus, éventuellement, critères qualités s’ils sont renseignés de façon homogène (ce qui n’est aujourd’hui jamais le cas). Il serait intéressant de ce point de vue d’obtenir plus d’information sur les opérations réalisées au préalable sur les métadonnées géologiques (OneGeology) ou sur les PLU (Plan4All) pour que les données soient comparables. Présélection des données, effort de renseignement de mots clés particuliers prédéfinis permettant de s’assurer que les données sont comparables, effort de standardisation et d’adoption d’un thésaurus particulier ?

Une grosse différence entre les usages « COMPUTER » et les usages « HUMAN » concerne par exemple la qualification des données. Un utilisateur interprète la mention « données exhaustives en Saône-et-Loire et dans la Nièvre, mais pas en Côte d’Or ni dans l’Yonne », mais pour qu’une machine puisse exploiter cette information, il faut séparer la fiche de métadonnées valable pour la Bourgogne en 4 fiches, une par département et renseigner un taux d’exhaustivité sous forme de pourcentage (ayant la même définition) pour chaque département. Ceci permettra à un logiciel de sélectionner les PLU de Saône et Loire et de la Nièvre, mais pas ceux des deux autres départements. Ceci suppose d’ailleurs que tous les organismes renseignent le taux d’exhaustivité de la même façon : il est tout à fait licite de renseigner un taux d’exhaustivité (99 %) ou un taux de carences (1 %) : le logiciel ne sera pas capable de distinguer l’un de l’autre dans la situation actuelle (c’est un élément textuel qui dit comment interpréter le taux.
Comment savoir si divers lots de données ou services provenant de divers territoires sont homogènes et peuvent être assemblés ?
Ceci ne peut être fait que dans la mesure où des métadonnées très complètes ont été renseignées, incluant les catalogues d’attributs et les valeurs d’attributs. Il faut en effet que ceux-ci soient « compatibles », « comparables » et n’est donc possible que si les données sont standardisées. C'est lancé, mais cela ne sera probablement pas le cas pour une part significative d'entre elles avant une dizaine d'années.
Utilisation
Comment assembler divers services et/ou lots de données ?
Ici encore, différence importante entre « HUMAN », qui peut définir une configuration à la carte, service par service et homogénéiser jusqu’à un certain point la présentation des données et « COMPUTER » qui n’est pas en mesure de résoudre ce problème sans intervention humaine, sauf si des critères de présentation ont été associés aux services (SLD), et si les données sont homogènes.

Vérifier comment on peut appliquer un même service de présentation à des données partiellement hétérogènes (noms d’attributs thématisés différents par exemple). Cf. OneGeology

Contributeurs : Arnaud CAUCHY, François ROBIDA, François SALGE, Henri PORNON (contributeur initial), Hervé CAUMONT, Marc LEOBET, Nicolas KLEIN

Consulter la suite concernant les pistes de réflexions...

0:53
Edmar Moretti: Problemas com o gast no Geonetwork 2.6.4 ?
sur Planet OSGeo

O Gast é um programinha em Java que vem junto com o Geonetwork e permite configurar algumas coisas do software. Nessa nova versão, e não sei se em alguma anterior também, o Gast não abriu no Windows 7.

Depois de algumas experiências, descobri que o problema está nos caminhos. Para corrigir vc pode criar um arquivo de configuração em geonetwork/gast com o nome previousGastConfig.properties e incluir o seguinte:

schemas=xml/schemas
setup-config=WEB-INF/classes/setup
logOutputDir=./gast-logs
config-xml=WEB-INF/config.xml
embedded-db=WEB-INF/db
conversions=xsl/conversion
webapp=..\\web\\geonetwork
logos=images/logos
web-xml=WEB-INF/web.xml
templates=WEB-INF/classes/setup/templates
jetty-port=8080
sample-data=./setup/sampleData

Com isso o Gast voltou a funcionar. Pelo menos na minha máquina.

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