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12310 items (0 unread) in 55 feeds
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Décryptagéo, l'information géographique
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Cybergeo
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Revue Internationale de Géomatique (RIG)
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SIGMAG & SIGTV.FR - Un autre regard sur la géomatique
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Mappemonde
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Imagerie Géospatiale
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Toute l’actualité des Geoservices de l'IGN
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arcOrama, un blog sur les SIG, ceux d ESRI en particulier
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arcOpole - Actualités du Programme
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Géoclip, le générateur d'observatoires cartographiques
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Blog GEOCONCEPT FR
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Géoblogs (GeoRezo.net)
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Conseil national de l'information géolocalisée
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Geotribu
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Les cafés géographiques
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UrbaLine (le blog d'Aline sur l'urba, la géomatique, et l'habitat)
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Icem7
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Séries temporelles (CESBIO)
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Datafoncier, données pour les territoires (Cerema)
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Cartes et figures du monde
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SIGEA: actualités des SIG pour l'enseignement agricole
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Data and GIS tips
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Neogeo Technologies
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ReLucBlog
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L'Atelier de Cartographie
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My Geomatic
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archeomatic (le blog d'un archéologue à l’INRAP)
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Cartographies numériques
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Veille cartographie
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Makina Corpus
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Oslandia
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Camptocamp
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Carnet (neo)cartographique
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Le blog de Geomatys
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GEOMATIQUE
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Geomatick
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CartONG (actualités)
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20:00
The Difference Between Streets and Roads
sur Google Maps ManiaIn the UK you won't find many roads in the centers of many towns and cities. This isn't because they are pedestrianized. It is because the word 'road' was rarely used as part of a toponym before the late 16th Century. Up until the 17th Century roads were called something else, such as 'streets' or 'lanes'. For this reason any city or town in England, which still retains its medieval street
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19:01
La cartographie des différents types de voies à Paris
sur Veille cartographieCet article La cartographie des différents types de voies à Paris est apparu en premier sur Veille cartographique 2.0.
En France et plus précisément à Paris, existent 45 types de voies. Sur cette cartographie interactive, vous découvrirez les différents types de voies qui existent. L’importance de l’Open Data dans la réalisation de la cartographie Cette cartographie interactive est réalisée par le développeur Florian Boudot travaillant pour l’entreprise Dataveyes avec la coopération de l’Atelier parisien […]
Cet article La cartographie des différents types de voies à Paris est apparu en premier sur Veille cartographique 2.0.
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18:00
The Street Names of Vancouver
sur Google Maps ManiaGolf courses are more likely to have roads named after them in Vancouver than women. In Vancouver more streets have been given the name of famous golf courses from around the world than have been named for famous or notable women. There are 26 streets bearing the name of a famous golf course and only 16 streets in the whole city which have been named for women. Of Vancouver's 651 streets 276 -
16:00
London Squared
sur Google Maps ManiaThe City Intelligence Unit at the London Datastore has released a really interesting visualization of London Commuting Flows. The visualization uses an interactive cartogram to show where the residents in each London borough travel to work within London. The cartogram repesents every London borough as a small square. Each of these small squares is a mini choropleth map showing where in London
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15:30
The iPhone U1 UWB Chip, Digital Twins and Data Collection
sur James Fee GIS BlogOddly enough the biggest news this week from the iPhone 11 introduction by Apple barely got any play. In fact, on the iPhone 11 Pro website, you have to scroll past Dog Portrait mode to get any information about it. Apple describes the U1 chip thusly:
The new Apple?designed U1 chip uses Ultra Wideband technology for spatial awareness — allowing iPhone 11 Pro to understand its precise location relative to other nearby U1?equipped Apple devices.4 It’s like adding another sense to iPhone, and it’s going to lead to amazing new capabilities. With U1 and iOS 13, you can point your iPhone toward someone else’s, and AirDrop will prioritize that device so you can share files faster.4 And that’s just the beginning.
[https:]]Makes sense right? A better way to AirDrop. But there is so much more there, “precise location relative to other nearby equipped Apple Devices“. But what is UWB and why does it matter? The UWB Alliance says:
UWB is a unique radio technology that can use extremely low energy levels for short-range, high-bandwidth communications over a large portion of the radio spectrum. Devices powered by a coin cell can operate for a period of years without recharge or replacement. UWB technology enables a broad range of applications, from real-time locating and tracking, to sensing and radar, to secure wireless access, and short message communication. The flexibility, precision and low-power characteristics of UWB give it a unique set of capabilities unlike any other wireless technology.
So that’s really interesting, low energy use, high bandwidth and is very secure. I thought Jason Snell did a great job looking into the U1 on Six Colors:
From raw data alone, UWB devices can detect locations within 10 centimeters (4 inches), but depending on implementation that accuracy can be lowered to as much as 5 millimeters, according to Mickael Viot, VP of marketing at UWB chipmaker Decawave.
That’s pretty amazing. Basically it takes what makes Bluetooth LE great for discover, secures it and then makes it faster and more accurate. So we can see the consumer use cases for UWB, sharing files and finding those tiles we’ve heard so much about. But where this gets very interesting for our space is for data collection and working inside digital twins. You can already see the augmented reality use case here. A sensor has gone bad in a building, I can find it now with millimeter accuracy. But it’s not just what direction it’s how far. UWB uses “time of flight” to pinpoint location (measuring the time of signal to gauge distance), enabling it to know how far away it is. Just knowing a sensor is ahead of you is one thing, but knowing it is 20 feet away, that’s really a game changer.
You can see this through a little known app Apple makes called Indoor Survey. Small side note, back in late 2015 I blogged about Apple’s Indoor Positioning App which ties into all this. Where you really see this use is when you go to the signup page see how data is brought into this app using a standard called Indoor Mapping Data Format. Indoor Mapping Data Format (IMDF) provides a generalized, yet comprehensive data model for any indoor location, creating a basis for orientation, navigation and discovery. IMDF is output as an archive of GeoJSON files. Going to the IMDF Sandbox really shows you what this format is about.
Apple’s IMDF Sandbox
Basically you see a map editor that allows you to really get into how interiors are mapped and used. So Apple iPhone 11 UWB devices can help place themselves more accurately on maps and route users around building interiors. Smart buildings get smarter by the devices talking to each other. Oh and IMDF, Apple says, “For GIS and BIM specialists, there is support for IMDF in many of your favorite tools.“. I will need to spend a bit more time with IMDF but its basically GeoJSON objects so we already know how to use it.
The thing about GPS data collection is it works great outdoors, but inside it is much harder to get accuracy, especially when you need it. With Indoor Survey, devices can collect data much more accurately indoors because they know exactly where they are. If you’ve ever used Apple Maps in an airport and seen how it routes you from gate to gate, you get an idea how this works. But with UWB, you go from foot accuracy to sub centimeter. That’s a big difference.
Now we’re a long way away from UWB being ubiquitous like Bluetooth LE is. Right now as far as I can tell, only Apple has UWB chips in their devices and we don’t know how compatible this all is yet. But you can see how the roadmap is laid out here. UWB, GeoJSON and an iPhone 11. Devices help each other get better location and in turn make working with Digital Twins and data collection so much easier.
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14:15
gvSIG Team: gvSIG Projects: Graphical management of the CAP (Common Agricultural Policy) applications with gvSIG Online
sur Planet OSGeoThe Common Agricultural Policy (CAP) is the agricultural policy of the European Union. It implements a system of agricultural subsidies and other programs. The number of grants processed in the Valencian Community is about 62,000 and it is equivalent to more than 140 million euros.
Regulation (EC) No 1593/2000 of July 17, 2000 obliges the creation of a Digital Graphic System for Agricultural Plots Identification. This is the origin of the SIGPAC, Agricultural Plots Geographic Information System, which allows geographically identify the parcels declared by farmers in any aid scheme related to the area.
AGRORED is the computer application used in the Generalitat Valenciana (Valencian regional government) to manage requests for these CAP grants. All alphanumeric information was recorded in AGRORED. A very basic graphical application, called CROQUISWEB, was available and presented several problems, such as not working with topological rules (the plots could overlap, the polygons could not be closed, etc.) and it was complicated for inexperienced users.
There is a change of scenario due to the publication of Royal Decree 1075/2014, which indicates that the graphic declaration becomes mandatory in 2018 for all aid applicants. CROQUISWEB did not have the necessary features to work with graphic data, so a new solution based on the gvSIG Online open source software, called LIBRA, was developed. LIBRA was integrated with AGRORED, it is easy to use, powerful (thousands of users connect simultaneously) and it has all the necessary GIS functionalities, including topological validations.
Currently, all applications related to agriculture in the Generalitat Valenciana are being migrated and developed on the same gvSIG Online platform.
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12:30
Fernando Quadro: Melhorias no GeoJSON do GeoServer
sur Planet OSGeoO serviço WFS do GeoServer já pode gerar o GeoJSON a partir de fontes de dados de recursos complexos através do app-schema. No entanto, a saída pode não ser agradável em alguns casos, devido a isso as seguintes melhorias foram realizadas:
- A alternância de propriedade/elemento típica do GML é preservada, causando estruturas profundamente aninhadas e feias. Nem todo mundo gosta de escrever um “container.xx” para atingir o valor x, com a versão 2.16.x a saída ignora um dos contêineres e expõe uma estrutura direta “container.x”
- Os atributos XML agora são transformados em propriedades JSON simples e prefixados com uma “@”
- Os tipos de recurso e dados não são mais perdidos nas traduções, preservados pelos atributos “@feaureType” e “@dataType”
- Recursos aninhados completos são codificados como GeoJSON novamente, mantendo seus identificadores
Aqui está um exemplo do arquivo de saída no formato GeoJSON da versão 2.16.x:
{ "type": "FeatureCollection", "features": [ { "type": "Feature", "id": "0001000001", "geometry": { "type": "Point", "coordinates": [51.0684, 1.4298] }, "properties": { "@featureType": "Borehole", "identifier": { "value": "BSS000AAAA", "@codeSpace": "http://www.ietf.org/rfc/rfc2616" }, "bholeHeadworks": [ { "type": "Feature", "geometry": { "type": "Point", "coordinates": [51.0684, 1.4298] }, "properties": { "@featureType": "BoreCollar", "collarElevation": { "value": -32, "@srsName": "http://www.opengis.net/def/crs/EPSG/0/5720", "@srsDimension": "1", "@uomLabels": "m" } } } ],
Fonte: GeoServer Blog