OSMsc

updated 21 Sep 2023

This repo develops an easy-to-use Python package, named OSMsc, to improve the availability, consistency and generalizability of urban semantic data.

OSMsc v0.2.0 is coming!

Photo by Abigail Keenan on Unsplash

The main contributions of OSMsc:

• Construct semantic city objects based on the public dataset (OpenStreetMap), and apply geometric operations to build more complete city objects;
• Fuse 3D and tag information from multiple data sources through the spatial analysis between OSMsc layers and other non-OSM data layers;
• Propose the semantic connector(UrbanTile), and supplement the spatial semantics;
• Output the CityJSON-formatted semantic city models.

OSMsc workflow

Semantic city model generated by OSMsc

Installation

Install from Github

git clone https://github.com/ruirzma/osmsc.git

cd osmsc/

pip install . or python setup.py install

Install from PyPi

pip install osmsc

Note:

• OSMnx should be installed before OSMsc, installation errors of OSMnx could be resolved in the latest OSMnx documentation.

• If installing OSMnx manually, you can download the Python extension packages (Rtree, GDAL, Fiona, rasterio, etc.) from here for Windows and Homebrew🍺 for MacOS.

Examples

OSMsc demonstration notebooks

Reference

1. Geoff Boeing, OSMnx, https://github.com/gboeing/osmnx
2. Nick Bristow, OSMuf, https://github.com/AtelierLibre/osmuf
3. Joris Van den Bossche, GeoPandas, https://github.com/geopandas/geopandas