spopt: Spatial Optimization¶

Regionalization, facility location, and transportation-oriented modeling¶

spopt is an open-source Python library for solving optimization problems with spatial data. Originating from the region module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed models and methods for regionalization, facility location, and transportation-oriented solutions.

Mexican State Regional Income Clustering

Airbnb Spots Clustering in Chicago

Grid Clustering

Locating First Aid Stations in Toronto

Locating Store Sites in San Francisco

Backup Coverage and Predefined Locations

Development¶

spopt development is hosted on github.

Get in touch¶

If you have a question regarding spopt, feel free to open an issue, a new discussion on GitHub, or join a chat on PySAL’s Discord channel.

Citing spopt¶

If you use PySAL-spopt in a scientific publication, we would appreciate citations to the following:

@misc{spopt2021,
  author    = {Feng, Xin, and
               Gaboardi, James D. and
               Knaap, Elijah and
               Rey, Sergio J. and
               Wei, Ran},
  month     = {jan},
  year      = {2021},
  title     = {pysal/spopt},
  url       = {https://github.com/pysal/spopt},
  doi       = {10.5281/zenodo.4444156},
  keywords  = {python,regionalization,spatial-optimization,location-modeling}
}

@article{spopt2022,
  author    = {Feng, Xin and Barcelos, Germano and Gaboardi, James D. and
              Knaap, Elijah and Wei, Ran and Wolf, Levi J. and
              Zhao, Qunshan and Rey, Sergio J.},
  year      = {2022},
  title     = {spopt: a python package for solving spatial optimization problems in PySAL},
  journal   = {Journal of Open Source Software},
  publisher = {The Open Journal},
  volume    = {7},
  number    = {74},
  pages     = {3330},
  url       = {https://doi.org/10.21105/joss.03330},
  doi       = {10.21105/joss.03330},
}

Funding¶

This project is/was partially funded through: