We discuss how UrbanFootprint utilizes open source tools to intake transit schedule data by converting it to a directed network graph and then tethering it to OSM walk network data on-the-fly in order to generate project-specific, combined walk and transit networks. Additionally, we demonstrate disaggregation patterns for other spatial data layers that allow us to more accurately model accessibility to features such as park acreage.
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Previous talkApplying Big Data Tools and Techniques to OpenStreetMap with OSMesa
OSM contains an enormous amount of data, even more when one considers the historical footprint produced by 14 years of editing. As a community, we’ve generally addressed the problem of surfacing it...
