This link has been bookmarked by 27 people . It was first bookmarked on 05 Mar 2008, by Glenn M.
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25 Nov 11
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All web technologies are a “stack,” like layers in a map, and our map stack starts at the top with OpenLayers, which provides the click’n’drag’n’zoom interface. The next step down in the stack is Mapnik, which renders geospatial data into graphical images. At the bottom of the stack is our collection of geospatial data, which includes TIGER/Line and shapefiles from various city governments, as well as databases and tools that operate on that data, such as PostGIS, Shapely, and OGR. Finally, the “secret sauce” layer in the stack is TileCache, which actually sits between OpenLayers and Mapnik. It provides caching of the map tiles that are generated by Mapnik and served to OpenLayers. I say “secret” because it’s transparent to both the layers it sits between, and also because it greatly speeds up the entire stack, making it possible to deploy and scale a large mapping application
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07 Feb 10
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04 Dec 08
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09 May 08
Pelle Sten”Maps can be composed of many such layers, up to a dozen or more. The maps from Google Maps, however, don’t let us choose which layers we receive. They are ’collapsed’ down into a single image”
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18 Apr 08
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03 Apr 08
Frederik Van ZandeWe’ve gotten a number of comments and questions about the maps that appear on EveryBlock. People are wondering if we have created our own mapping platform, and why we didn’t use the map offerings from services like Google, Yahoo!, or Microsoft.
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31 Mar 08
danthe how-to of making your own maps server
django geo mapping opensource phm everyblock @todo howto comparison postgresql Python visualization api
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16 Mar 08
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05 Mar 08
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26 Feb 08
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We also created our own maps because we wanted to focus on visualizing the data in our system. Google Maps is focused on finding places and routing between them (i.e., driving directions). This influences their choice of layers, as mentioned above. We wanted our maps to be a clean, low-energy slate for plotting news items in their geospatial context, their spatial relationship with each other. That’s the emphasis, rather than wayfinding. We’ve chosen our layers to aid in this and future visualizations — we’ve just begun to take advantage of the platform we’ve created.
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