I hereby claim:
- I am deniscarriere on github.
- I am eosnation (https://keybase.io/eosnation) on keybase.
- I have a public key whose fingerprint is 3F68 847E FF55 BCDA F250 E799 36A2 F10D 26E4 9EFF
To claim this, I am signing this object:
I hereby claim:
To claim this, I am signing this object:
| 04df52363b069ceab446d84d148596b993025486c908fe17eccb6969de7396c8883b510cd383e7294d84f00dd5f9d44d8813e1ed962ac45e0db32c5e0a7c1e0532 |
The goal of this dataset/project would be to generate geospatial statistics based on OpenStreetMap data and stored as JSON and PBF formats. These pre-computed tiles would enable data scientists to perform complex geospatial analysis at a country wide scale with minimal CPU processing.
There could be thousands of different geospatial statitics that could be generated from a simple OSM dataset within a given BBox, here's a list of the most useful geospatial statitic that would be defined:
highway=* (path, residential, secondary, etc...)Prepared by: @DenisCarriere
A few libraries to know about for doing Geospatial analysis using primarily OpenStreetMap Data & Vector Tiles.
Interactive web platfrom which displays Ottawa's LTS (Level Traffic Stress) zones for cycling entirely based from OpenStreetMap.
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