Comments (5)
Add to the list of use cases:
get_greenspace # proportion of land in route buffer that is green space
get_fastprox # length of 'fast' roads (e.g. speed => 60 kph) in close proximity to the route - could be proportion
get_busstops # how many bus stops along the route?
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If you've already got the route, three out of four (get_osmavspeed
, get_fastprox
, and get_busstops
) would be trivial. get_greenspace
would be easy in principle, but would require some fiddly decisions regarding how to define and measure green and non-green. Steps:
- Let me know if you're envisioning these being used on pre-existing routes; and
- If so, I reckon we could incorporate the 3/4 fairly easily.
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Thanks for the fast response. It depends if the 'route' is from OSM directly or another source (e.g. national cartographic agency, which may not have that field) - I think the only tricky part is downloading OSM data in the precise buffer surrounding the route - that could have quite a complex shape, e.g.
data("routes_fast")
b = buff_geo(routes_fast, width = 100)
plot(b)
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In that case you may as well download the bounding box, but what about cases where you have a long, windy route?
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Closing for now as this has gone stale. Many approaches including geofabric, osmdata (for small road networks) and Googles road speeds API: https://developers.google.com/maps/documentation/roads/speed-limits
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