TigerNet
Network Topology via TIGER/Line Edges
What is TigerNet and how does it work?
TigerNet is an open-source Python library that addresses concerns in topology and builds accurate spatial network representations from TIGER/Line data, specifically TIGER/Line edges. This is achieved through a 7-step process that roughly is as follows:
- creation of initial TIGER/Line edges subset (features with a road-type MTFCC)
- creation of initial segments subset (retain only specified road-type MTFCCs)
- welding of limited-access segments (limited-access segments — freeways, etc. — that share a non-articulation point are isolated and welded together)
- welding of general segments (surface street segments that share a non-articulation point are isolated and welded together)
- splitting of general segments (surface street segments that cross at known intersections are split)
- cleansing of the segment data (steps 4 and 5 are repeated until the data is deemed “clean” enough for network instantiation)
- building of the network (creation of network topology with the option of further simplification to eliminate all remaining non-articulation points — a pseudo graph-theoretic object — while maintaining spatial accuracy)
Important
After some consideration, this repo will serve as a stub for the tigernet
implementation developed for Gaboardi (2019), which can be cited in future publications through its DOI. Currently, some of the concepts are already being incorporated into spaghetti
, with more of the functionality in the original tigernet
potential (such as network measures pysal/spaghetti#126
).
- Gaboardi, James D. (2019). Populated Polygons to Networks: A Population-Centric Approach to Spatial Network Allocation. PhD dissertation, Florida State University. Available at FSU DigiNole.
- See also: jGaboardi/pp2n & jGaboardi/jGaboardi_dissertation
Examples
Installation
Currently tigernet
officially supports 3.8, 3.9, and 3.10.
(Recommended) Install the current release via conda-forge
by running:
$ conda install tigernet
Install the current release from PyPI
by running:
$ pip install tigernet
Install the most current development version of tigernet
by running:
$ pip install git+https://github.com/jGaboardi/tigernet
Support
If you are having issues, please create an issue.
License
The project is licensed under the BSD 3-Clause license.
Citations
- James D. Gaboardi (2019). jGaboardi/tigernet. Zenodo.
@misc{tigernet_gaboardi_2019,
author = {James David Gaboardi},
title = {jGaboardi/tigernet},
month = {aug},
year = {2019},
doi = {10.5281/zenodo.204572461},
url = {https://github.com/jGaboardi/tigernet}
}
Related projects
References
- The original method for
tigernet
is described in Chapter 1 of Gaboardi (2019).- James D. Gaboardi (2019). Populated Polygons to Networks: A Population-Centric Approach to Spatial Network Allocation. ProQuest Dissertations Publishing.
- The results of secondary analysis (spatial representions of population) were presented in Gaboardi (2020) and can also be found in Chapter 3 of Gaboardi (2019).
- The
WeightedParcels_Leon_FL_2010
dataset is based on that used in Gaboardi (2019), which was produced in Strode et al. (2018).- Georgianna Strode, Victor Mesev, and Juliana Maantay (2018). Improving Dasymetric Population Estimates for Land Parcels: Data Pre-processing Steps. Southeastern Geographer 58 (3), 300–316. doi: 10.1353/sgo.2018.0030.