Modeling And Analyzing Urban Networks And Amenities With OSMnx
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https://doi.org/10.1111/gean.70009 <-- shared technical article / 'how to'
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#GIS #spatial #mapping #OSMnx #OpenStreetMap #model #modeling #python #code #spatialanalysis #urban #networks #roads #transportation #infrastructure #geography #urbanplanning #planning #usage #design #software #development #openscience #opensource #analysis #tutorial #howto
Croissant Distribution
or, where am I most likely to have my next croissant, assuming (something something) independence from my previous croissant. ^k * e^(-) / k!
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2d kernel density estimation of the location of bakeries (blue) and farms (red) across France.
Locations taken from OpenStreetMap (considered paying attention to the size of the farm, but didn't), with #osmnx & plotted with #matplotlib & #seaborn. font: Borel, by Rosalie Wagner.
#30DayMapChallenge Day 2: Lines
Calculating different #centrality measures for a street #network takes longer than expected.
#DegreeCentrality is calculated in a few milliseconds. But oh boy. #ClosenessCentrality and #BetweennessCentrality are proper whoppers. For a network of 65 000 nodes, we're talking about 2+ hour calculation times for the closeness centrality, not to mention the betweenness.
Apparently switching to #igraph would provide a speed boost over #networkx but the convenience of #osmnx has won me over.
#MyBinder is so great! If I earned more money I'd certainly donate to help keep them up.
Fiddling with #Python #osmnx on MyBinder (I'm not sure if this is the correct "shareable" link) https://mybinder.org/v2/gh/gboeing/osmnx-examples/fef107d0f83843aeb19ccc86c0191252e414a540?urlpath=lab%2Ftree%2Fnotebooks%2F00-osmnx-features-demo.ipynb
Greg Cocks 
