jgaboardi/pp2n

Populated Polygons to Networks — pp2n

Populated Polygons to Networks — pp2n

Originally developed as the foundational method of Gaboardi (2019).

• Gaboardi, J. D. (2019). Populated Polygons to Networks: A Population-Centric Approach to Spatial Network Allocation. PhD dissertation, Florida State University. Available at FSU DigiNole.

What is the pp2n method?

The pp2n is an original solution for allocating populations onto networks that is higher resolution than traditional methods and less computationaly complex than state-of-the-art methods (Gaboardi, 2019).

... maybe pseudo algorithm here?...

See also: jGaboardi/jGaboardi_dissertation, jGaboardi/tigernet, and pysal/spaghetti

Examples

Installation

BibTeX Citations

@software{jGaboardi:pp2n:2020,
  author    = {Gaboardi, James David},
  title     = {{jGaboardi/pp2n}},
  month     = mar,
  year      = 2020,
  publisher = {Zenodo},
  doi       = {10.5281/zenodo.3697225},
  url       = {https://doi.org/10.5281/zenodo.3697225}
}

@phdthesis{Gaboardi:dissertation:2019b,
  author    = {Gaboardi, James David},
  school    = {Florida State University},
  title     = {{Populated Polygons to Networks: 
                A Population-Centric Approach to Spatial Network Allocation
              }},
  note      = {Available at
               \href{http://fsu.digital.flvc.org/islandora/object/fsu%3A722525}{FSU DigiNole}
              },
  year      = {2019}
}

License

The package is licensed under the BSD 3-Clause License.

Funding

This project is/was partially funded through:

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

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

pp2n's Issues

Add setup.py

Model setup.py after that in spaghetti and jGaboardi/nhgisxwalk

Incorporate code base from jGaboardi/jGaboardi_dissertation

Incorporate code base from jGaboardi/jGaboardi_dissertation.