spaghetti¶

SPAtial GrapHs: nETworks, Topology, & Inference¶

Spaghetti is an open-source Python library for the analysis of network-based spatial data. Originating from the network module in PySAL (Python Spatial Analysis Library), it is under active development for the inclusion of newly proposed methods for building graph-theoretic networks and the analysis of network events. An installation guide, API reference, and usage tutorials are provided here through the links above.

Network Representations

Network Spatial Dependence

Development¶

Development of spaghetti is hosted on GitHub.

Citing spaghetti¶

If you use PySAL-spaghetti in a scientific publication, we would appreciate using the following BibTeX citation:

@misc{Gaboardi2018,
  author   = {Gaboardi, James D. and Laura, Jay and Rey, Sergio and
              Wolf, Levi John and Folch, David C. and Kang, Wei and
              Stephens, Philip and Schmidt, Charles},
  month    = {oct},
  year     = {2018},
  title    = {pysal/spaghetti},
  url      = {https://github.com/pysal/spaghetti},
  doi      = {10.5281/zenodo.1343650},
  keywords = {graph-theory,network-analysis,python,spatial-networks,topology}
}

Citing Work¶

Lovelace, R. Open source tools for geographic analysis in transport planning. J Geogr Syst (2021). https://doi.org/10.1007/s10109-020-00342-2.

Funding¶

This project is/was partially funded through:

The Atlanta Research Data Center: A Polygon-Based Approach to Spatial Network Allocation¶

National Science Foundation Award #1825768: National Historical Geographic Information System¶