spaghetti 1.3rc1

Analysis of Network-constrained Spatial Data

pysal/spaghetti

SPAtial GrapHs: nETworks, Topology, & Inference

An example of snapping observation points to a network and plotting:

Build & Versions

Anaconda

Issues & Pull Requests

Commit Activity

Community & GitHub Stats

Languages

Licensing & Citation

Misc.

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This package is part of a refactoring of PySAL.

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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.

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Examples

• Network Usage
• Spaghetti Pointpatterns Empirical
• Snapping Demonstration
• Facility Location

Installation

Install the latest stable of spaghetti via PyPI by running:

$ pip install spaghetti

Install the latest stable of spaghetti via conda-forge by running:

$ conda install --channel conda-forge spaghetti

Install the most current development version of spaghetti by running:

$ pip install git+https://github.com/pysal/spaghetti

Requirements

• scipy
• numpy
• esda
• rtree

Soft Dependencies

• shapely
• geopandas

Contribute

PySAL-spaghetti is under active development and contributors are welcome.

If you have any suggestion, feature request, or bug report, please open a new issue on GitHub. To submit patches, please follow the PySAL development guidelines and open a pull request. Once your changes get merged, you’ll automatically be added to the Contributors List.

Support

If you are having issues, please create an issue or talk to us in the gitter room.

License

The project is licensed under the BSD license.

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},
keywords = {graph-theory,network-analysis,python,spatial-networks,topology}
}