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Using r.watershed -s with cells of interest provided as flow on a distance to network raster map (from r.grow.distance), i obtained the accumulation map answering our issues.


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One possibility would be to use a turns feature class or table to model an increased time impedance for all turns. The idea would be to use a high value for turns (such as 15-20) seconds, and a low impedance for straights (0-5). Then, as routes are created, every time a turn is the "fastest route", the additional impedance time will likely influence the ...


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iriberri is correct. I need to specify protocol in the options field, like this. cartodb.createLayer(map, layerUrl, {'https':true}) Whiel the layerUrl is not necessarily https.


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One of the download links offers shapefile data. This can be used directly by any GIS software, including free software like QGIS and OpenJump. From that point, there are numerous ways to turn shapefiles into a routable network database.


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QGIS has all the algorithms necessary, but there is no GUI to create matrices yet. With some Python knowledge the Network Analysis library documentation should get you started.


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I guess pgRouting would be the best option for you. Could you please have a look at these post and say if this is in general what you are looking for? Creating many origin-destination routes with pgRouting (Answer of Otto Coster) If yes then there would be a additional loop neccessary do the calculations for all destinations



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