osmsc 0.1.2

Construct semantic city models from OpenStreetMap

updated 30 Nov 2021

<font color=green size=4> This repo created an easy-to-use Python package, named OSMsc, to improve the availability, consistency and generalizability of urban semantic data.</font>


<p align = “center”> Photo by <a href=”https://unsplash.com/@akeenster?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText”>Abigail Keenan</a> on <a href=”https://unsplash.com/?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText”>Unsplash</a> </p>

The main contributions of OSMsc are reflected in the following aspects: * Construct semantic city objects based on the public dataset (OpenStreetMap), apply geometric operations to build the incomplete objects, and store them in their respective data layers. * Fuse 3D and tag information from multiple data sources through the spatial analysis between OSMsc layers and other non-OSM data layers. * Supplement the spatial semantics and geometric properties to city objects through object layer analysis. * Utilize each data layer as a unit to output the final CityJSON semantic objects

 <p align = “center”> OSMsc workflow</p>

### Installation

Install from [PyPi](https://pypi.org/project/osmsc/)

pip install osmsc

Install from [Github](https://github.com/ruirzma/osmsc)

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

cd osmsc/

pip install . or python setup.py install

### Examples [OSMsc demonstration notebooks](https://github.com/ruirzma/osmsc/tree/main/examples)

### 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