Pre-release

This release is a pre-release and may not be stable for production use.

pysal/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. This package is part of a refactoring of PySAL.

An example of a network's minimum spanning tree:




	🍝

Examples

The following are a selection of some examples that can be launched individually as interactive binders from the links on their respective pages. Additional examples can be found in the Tutorials section of the documentation. See the pysal/notebooks project for a jupyter-book version of this repository.

Installation

As of version 1.4.2, spaghetti officially supports Python 3.6, 3.7, and 3.8. Please make sure that you are operating in a Python >= 3.6 environment.

Installing with conda via conda-forge (highly recommended)

To install spaghetti and all its dependencies, we recommend using the conda manager, specifically with the conda-forge channel. This can be obtained by installing the Anaconda Distribution (a free Python distribution for data science), or through miniconda (minimal distribution only containing Python and the conda package manager).

Using conda, spaghetti can be installed as follows:

$ conda config --set channel_priority strict
$ conda install --channel conda-forge spaghetti

Also, geopandas provides a nice example to create a fresh environment for working with spatial data.

Installing with PyPI

$ pip install spaghetti

or download the source distribution (.tar.gz) and decompress it to your selected destination. Open a command shell and navigate to the decompressed folder.

$ pip install .

Warning

When installing via pip, you have to ensure that the required dependencies for spaghetti are installed on your operating system. Details on how to install these packages are linked below. Using conda (above) avoids having to install the dependencies separately.

Install the most current development version of spaghetti by running:

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

Requirements

Soft Dependencies

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 review PySAL: Getting Started, the PySAL development guidelines, the spaghetti contributing guidelines before opening 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.

Code of Conduct

As a PySAL-federated project, spaghetti follows the Code of Conduct under the PySAL governance model.

License

The project is licensed under the BSD 3-Clause license.

BibTeX Citation

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

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

Release files for spaghetti 1.5.0rc13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for spaghetti 1.5.0rc13
File	Size	Uploaded
spaghetti-1.5.0rc13.tar.gz	55.5 kB	May 4, 2020	Details

Built distribution (wheel)

Table of built distributions (wheels) for spaghetti 1.5.0rc13
File	Interpreter	ABI	Platform	Reset
spaghetti-1.5.0rc13-py3-none-any.whl 43.4 kB May 4, 2020	Python 3	none	any	Details

Total release size: 98.9 kB

Release files / spaghetti-1.5.0rc13.tar.gz

Download URL	spaghetti-1.5.0rc13.tar.gz
Size	55.5 kB
Tags	Source
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Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7`

Release files / spaghetti-1.5.0rc13-py3-none-any.whl

Download URL	spaghetti-1.5.0rc13-py3-none-any.whl
Size	43.4 kB
Tags	Python 3
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Upload date	May 4, 2020
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7`