osmnx-examples
landuse_without_buildings
osmnx-examples | landuse_without_buildings | |
---|---|---|
3 | 1 | |
1,460 | 11 | |
- | - | |
7.8 | 1.6 | |
3 days ago | about 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
osmnx-examples
-
Second MYOG project
For the actual printing I used ripstop by the roll custom print service. To render the image to be printed I used an open source too, https://github.com/gboeing/osmnx
-
Algorithms for efficiently, and accurately, computing distances on an ellipsoid
IIRC, it can generate graphs that are both unprojected and projected and convert between them, so it might be worth looking into the source code of it if you think that sounds like what you're looking for on the OSMNX GitHub repo
-
Mapping the Hidden Patterns of Cities
Geoff Boeing, the original author, provided an iPython notebook so you can run this yourself, but this script a friend of mine wrote may make it a bit simpler to run, if you wanna give it a shot yourself.
landuse_without_buildings
-
Which Postgres and PostGIS views do you find most useful?
Hey, I happen to have done something like this: https://github.com/hfs/landuse_without_buildings/
What are some alternatives?
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
GeoDesk - Fast and storage-efficient spatial database engine for OpenStreetMap data
analisis-numerico-computo-cientifico - Análisis numérico y cómputo científico
unmapped-census - Find missing residential areas in Germany in OpenStreetMap based on census 2011
ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
r5 - Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit
geospatialdatascience - Course materials for: Geospatial Data Science
osm-geo-mapper - Navigate OpenStreetMap data in the terminal
city-street-orientations - Playing with OSMnx
everystreet - An algorithm finding #everystreet route on Open Street Map (OSMnx)