osmnx

Retrieve post covid pop-up cycleways with OpenStreetMap and OSMNX

对着背影说爱祢 提交于 2020-08-10 19:07:27
问题 The OSM community in Italy has started to update OSM with "emergency" or "pop-up" cycleways that many administration are creating to guarantee social distancing while public transport use is reduced. Those cycleways are often just painted, so they are tagged in OSM like this (example for right side of the street): highway = secondary bike lanes = left side: share_busway , right side: lane I would like to retrieve all these cycleways using OSMNX and custom_filter. I have tried the following:

Retrieve post covid pop-up cycleways with OpenStreetMap and OSMNX

别来无恙 提交于 2020-08-10 19:07:27
问题 The OSM community in Italy has started to update OSM with "emergency" or "pop-up" cycleways that many administration are creating to guarantee social distancing while public transport use is reduced. Those cycleways are often just painted, so they are tagged in OSM like this (example for right side of the street): highway = secondary bike lanes = left side: share_busway , right side: lane I would like to retrieve all these cycleways using OSMNX and custom_filter. I have tried the following:

Clipping a networkx graph according to georeferenced polygon

非 Y 不嫁゛ 提交于 2020-07-23 06:52:05
问题 I am running a loop that computes a networkx.classes.multidigraph.MultiDiGraph for each row (neighbourhood) of a list of GeoDataFrames (cities). It then computes some statistics for each row and writes the file out to disk. The problem is that the loop is extremely long to compute because the graph is computed for each row. The way I want to quicken the loop is by computing the graph for the whole GeoDataFrame and then clipping the graph into each row (each row has a polygon). You can do this

Clipping a networkx graph according to georeferenced polygon

旧巷老猫 提交于 2020-07-23 06:51:21
问题 I am running a loop that computes a networkx.classes.multidigraph.MultiDiGraph for each row (neighbourhood) of a list of GeoDataFrames (cities). It then computes some statistics for each row and writes the file out to disk. The problem is that the loop is extremely long to compute because the graph is computed for each row. The way I want to quicken the loop is by computing the graph for the whole GeoDataFrame and then clipping the graph into each row (each row has a polygon). You can do this