ruirzma / osmsc

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

python PyPI PyPI - Wheel PyPI - Implementation GitHub repo size GitHub repo file count PyPI - License

Updated Mar 23, 2024

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:

OSMsc的主要功能:

workflow

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:

Examples

OSMsc demonstration notebooks

Citation

If you use OSMsc in scientific work, I kindly ask you to cite it:

@article{doi:10.1080/13658816.2023.2266824,
author = {Rui Ma, Jiayu Chen, Chendi Yang and Xin Li},
title = {OSMsc: a framework for semantic 3D city modeling using OpenStreetMap},
journal = {International Journal of Geographical Information Science},
volume = {0},
number = {0},
pages = {1-26},
year = {2023},
publisher = {Taylor & Francis},
doi = {10.1080/13658816.2023.2266824},
URL = {https://doi.org/10.1080/13658816.2023.2266824},
eprint = {https://doi.org/10.1080/13658816.2023.2266824}}

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