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Interactive maps, webmapping, USA map, map of US, map of England, map of France,statistics, atlas : Geoclip You can view several samples based on Géoclip Server: France Découverte O3, new version of France Découverte, with Géoclip O3. The old version is still available: France Découverte V2 You can download a comprehensive description of Géoclip Server: Géoclip Server introduction documentation This documentation has been completely updated for Geoclip O3. You can follow Geoclip O3 news on our blog: There you can discover the new interface, refer to a summary of new features, or see how to create a study based on your data. The database which Géoclip Server draws on may contain an extremely large, almost unlimited, amount of data. Database types that can be used with Géoclip Server are MySQL, SQL Server, PostgreSQL and Oracle. The management module can be used to create new indicators with all of the associated metadata.

MapFab Create a map | BatchGeo Blog, CartoDB makes D3 maps a breeze Anybody who loves maps and data can’t help but notice all the beautiful visualizations people are making with D3 right now. Huge thanks to Mike Bostock for such a cool technology. We have done a lot of client-side rendering expirements over the past year or so and have to say, D3 is totally awesome. This is why we felt it might be helpful to show you how easy it is to use D3 with CartoDB. In the near future, we’ll be adding a few tutorials for D3 to our developer pages, but for now, let’s have a look. Creating your first map Using CartoDB’s SQL API, you can load GeoJSON straight from your CartoDB table into your D3 application. Paired with d3.geo, you can quickly develop maps. TopoJSON support We are actively working on supporting TopoJSON in CartoDB and when deployed, this will open the door to even faster D3 maps. Client-side simplification Many of you have probably seen some of the cool client-side simplification work that is being done.

MapChat Neatline is a lightweight, extensible framework for creating interactive editions of visual materials – maps, paintings, photographs, and anything else that can be captured as an image. Built as a plugin for Omeka, a collection-management framework developed by the Roy Rosenzweig Center for History and New Media, Neatline adds a digital map-making environment that makes it easy to represent geospatial information as a collection of “records” plotted on a map, which can be bound together into interactive exhibits that tell stories and make arguments. Designed for scholars, archivists, journalists, and students, Neatline provides a flexible set of tools that can be adapted to fit the needs of a wide range of digital mapping projects. For documentation, head over to the project Wiki.If you found a bug or thought of a new feature, file a ticket on the issue tracker. Here are some examples of the kinds of projects that could be built (or have been built!)

What's new with JavaScript and geospatial - wrapup from the js.geo event The past couple of days I've been at the js.geo event in Denver, which was a small informal conference focused on JavaScript and geospatial, organized by Chris Helm, Steve Citron-Pousty and Brian Timoney. I've been head down on customer projects and product development the past few months, so it was great to get out and see what's going on in the broader world. As usual with this type of event I was blown away by how much cool new stuff people are doing - it's definitely a tough job to keep up with everything that's going on these days! The attendees included a great cross-section of people involved with the major geospatial JavaScript projects. My brain is overflowing at the end of the two days, and I have lots of things I want to look into more. D3 is a very cool general purpose JavaScript interactive visualization library, developed by Mike Bostock, that includes some good (mainly vector) geospatial capabilities. Leaflet CartoDB I continue to be very impressed with CartoDB. MapBox

Using Dynamic Non-Spatial Data In GeoCommons | geoMusings In my previous post, I described how I used a Python script to scrape power outage information from a local web site and convert it into an RSS feed. In this post, I’ll show how I used GeoCommons to visualize the changing information over time. The process starts by creating a data set in GeoCommmons based on a URL link to the feed created in the previous post. The general process for doing that can be found here in the GeoCommons documentation. My feed is not a GeoRSS feed so it has no location data of its own for GeoCommons to work with. During the upload process, I reached this screen, which starts the process of helping to attach location to my data. The feed summarizes power outage by ZIP code so I chose “Join with a boundary dataset” so that I could join it with ZIP code boundaries I had previously uploaded. I selected the attribute in my feed (title) that was to be used to join with a corresponding attribute in the boundary data set (Zip) as shown below.

Map Maker Google Map Maker officially closed on March 31, 2017, and many of its features are being integrated into Google Maps. Since 2008, the Google Map Maker community has edited and moderated millions of features to improve the Google Maps experience. To make it easier for all Google Maps users to contribute changes to the map, we’ve started to graduate functionality from Map Maker to Google Maps on both desktop and mobile. Key editing features currently available in Google Maps include: We’ll continue to add new editing features within Google Maps on an ongoing basis. To keep contributing your local knowledge to Google Maps and engage with a passionate community of likeminded individuals, we invite you to join the Local Guides program where you can do things like: Earn points Unlock rewards for submitting edits and other information Get early access to new Google Map features.

Inequality Tutorial Using Instant Atlas Guest contribution by Robert Lang. Inequality is a topic that is increasingly being taught at key stage 3 and in other key stages particularly in GCSE and post 16 courses where comparing places in relation to standard and quality of life and inequality is important. The study of inequality based on geographical factors can involve understanding terrain, climate, culture, industry, agriculture, level of development in the region/country, remoteness, urbanization, industrialization, governmental policy measures, population, and mechanization. Resulting inequality presents itself in the form of poverty, access to and quality of health care services, educational services, infrastructure, HDI [human development index] factors, government corruption or inefficiencies, among others. Inequality Tutorial Using Instant Atlas This tutorial looks at an interactive atlas that allows you to look at how one area (polygon) compares to other places as a whole. Comparing Manchester With Other Areas (beta) but good! Railways in Namibia Tatra Electric Railway PD trans Railways in Tunisia West and East Berlin Warsaw Ghetto Hyderabad area Łódź tramway network New Orlean Streetcars Railways in Guinea Railways in Egypt Pony Express Route Yukon railway Grudziadz tramway network Newfounland railway Railways in Namibia Tatra Electric Railway prevnext ShareMap is a online map creation GIS tool . With ShareMap you can create maps that can be later presented in various formats - as SVG vector graphic, bitmap raster or as interactive web map. ShareMap maps are free and licensed with Creative Commons license - it can be used on commercial and non commercial sites. ShareMap is what you need to create map for Wikipedia or Wikipedia Commons ShareMap is still in beta phase - feedback from community is warmly welcome. ShareMap user manual Comprehensive guide of map creation in with ShareMap FAQ ShareMap features

Tour MapBox Global coverage and fresh design MapBox Streets is a beautiful alternative to Google Maps powered by high-quality open data from OpenStreetMap, available now from MapBox. Liberate your maps with global street level detail, rich features, and your own custom design. Apply custom styles MapBox streets comes in a variety of gorgeous preset color schemes, or you can take control and customize the color levels and features of your map. Overlay your data Add interactive markers and overlays to your custom map using our API and Maki , our open source icon library with dozens of symbols for points of interest. Sign up now Want to use MapBox on your site? Register for a free account to get started. Use TileMill to make your own maps In addition to using the maps we create, you can design your own maps with TileMill. Design custom base maps Easy-to-use tools for managing multiple data layers and applying rich map styles. Create powerful interactive overlays Design interactive overlay layers for your maps.

How To Import Data and Make Maps with Google Fusion Tables This GIS tutorial by Naveen Sidda looks at Google Fusions Tables, how to import geographic data from a web page, and how to create map out geographic data within Google Maps. What is Google Fusion Tables? Google Fusion Tables is a data web service which is built on the concept of cloud computing for data integration from various data sources, visualization and collaborative management. Working with Fusion Tables: Fusion Table (FT) allows the import of various data formats like the comma-separated text (.csv), other text-delimited files (.tsv), KML , Google spreadsheets, and other spreadsheet formats (.xls, ods, etc.). Preparation of the data The table in the Google docs below shows the data of top touristic countries along with rankings, statistics on the arrivals and yearly percent change. Table 1. ImportHtml is the functions along with the parameters:webpage URL, format or the query structure-(Table/List) to pull from the URL, position or index of the information located on the web page.

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