geovoronoi
osmnx
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| geovoronoi | osmnx | |
|---|---|---|
| 1 | 14 | |
| 128 | 4,655 | |
| -0.8% | - | |
| 0.0 | 9.6 | |
| 5 months ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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geovoronoi
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Placing a Voronoi diagram over a streetmap (using Python)?
There is also a Python geovoronoi package which I'm trying to use, but I don't know yet how I can integrate its Voronoi diagrams with a street map. (I believe - although I haven't fully explored this yet - that it's possible to create your own color dictionary to be used for the regions. So I suppose I can add transparency as well. )
osmnx
- I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic.
- Planning a straight line across Norwich, the best route I could find just scraped a silver.
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Anyone here familiar with GeoPandas in Python? Can GeoPandas calculate driving distances and drive time?
You want osmnx
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[OC] Neighborhood walkability in Delhi
OSM road network data was analyzed using osmnx (https://github.com/gboeing/osmnx). Plotted using QGIS.
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Rate Limit Causing Pause
I think you’re hitting this issue right now: https://github.com/gboeing/osmnx/issues/832
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Video: Why Open Data Matters for Cycling: Visualizing a Cycling City
RDS-TMC transmits traffic data over FM radio. https://en.wikipedia.org/wiki/Traffic_message_channel Some is encrypted, some not.
It might be possible to model traffic with OSMnx to assign weights to roads by expected traffic levels https://github.com/gboeing/osmnx
Depending on where you live you might be able to get traffic data and maybe traffic models from public authorities using Freedom of Information requests.
- I just want things to work
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Number of Public Transport Stations & Doctors in each city in Germany
Osmnx might also be a way to download data for the whole country. It breaks the area up in smaller parts automatically and also downloads the parts from Overpass. https://github.com/gboeing/osmnx
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Tacoma!
You can make your own with a variety of tools, but I like the results from OSMnx offhand.
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Need to get a national (US) file of cycleways.
I have no idea if this works for such large regions, but https://geoffboeing.com/publications/osmnx-complex-street-networks/ is an awesome tool to visualize street (and maybe bike) networks.
What are some alternatives?
folium - Python Data. Leaflet.js Maps.
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
foronoi - An implementation of Fortune's algorithm for Voronoi diagrams in Python.
pyosmium - Python bindings for libosmium
FastGeospatial - FastGeospatial is a PostGIS geospatial api to enable geospatial analysis on geographical data within a spatial database.
overpass-wizard - :dizzy: Human friendly way to generate Overpass API queries
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
atlas - OSM in memory
leafmap - A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
qgis-outdoor-map - QGIS project for an outdoor map based on OpenStreetMap data.
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.