spaghetti

spaghetti: spatial network analysis in PySAL - Published in JOSS (2021)

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 5 DOI reference(s) in README and JOSS metadata
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Academic publication links
Links to: joss.theoj.org, zenodo.org
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Committers with academic emails
5 of 24 committers (20.8%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
Published in Journal of Open Source Software

Keywords

gis graph-theory network-analysis pysal python spatial-network topology

Keywords from Contributors

facility-location location-allocation location-modeling regionalization resource-planning routing spatial-analysis spatial-optimization transportation meshing

Scientific Fields

Political Science Social Sciences - 39% confidence

Last synced: 4 months ago · JSON representation

Repository

SPAtial GrapHs: nETworks, Topology, & Inference

Basic Info

Host: GitHub
Owner: pysal
License: bsd-3-clause
Language: Python
Default Branch: main
Homepage: http://pysal.org/spaghetti/
Size: 185 MB

Statistics

Stars: 278
Watchers: 26
Forks: 73
Open Issues: 3
Releases: 49

Topics

gis graph-theory network-analysis pysal python spatial-network topology

Created over 8 years ago · Last pushed 5 months ago

Metadata Files

Readme Changelog Contributing License

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.

An example of a network's minimum spanning tree:

|| | tag | |:---:|:---:|:---:|:---:| | | | | | Pypi python versions | | | | | | |

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. * Quickstart * Shortest Path Visualization * Caveats

Installation

Python >= 3.10 is tested for support by spaghetti. Please make sure that you are operating in a Python >= 3.10 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

History

spaghetti was created and has evolved in line with the Python Spatial Analysis Library ecosystem for the specific purpose of utilizing the functionality of spatial weights in libpysal for generating network segment contiguity objects. The PySAL project was started in the mid-2000s when installation was difficult to maintain. Due to the non-triviality of relying on dependencies to secondary packages, a conscious decision was made to limit dependencies and build native PySAL data structures in cases where at all possible. Therefore, the original pysal.network submodule was developed to address the need for integrating support for network data structures with PySAL weights data structures, with the target audience being spatial data scientists and anyone interested in investigating network-centric phenomena within PySAL. Owing to the co-development of network functionality found within spaghetti and the evolution of the wider PySAL ecosystem, today, the package provides specialized network functionality that easily integrates with the rest of PySAL. This allows users of spaghetti’s network functionality to access spatial analysis functionality that complements network analysis, such as spatial statistical tools with esda and integration with core components of libpysal: libpysal.weights (mentioned above), libpysal.cg (computational geometry and data structures), libpysal.io (input-output), and libpysal.examples (built-in example data).

Contribute

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

If you have any suggestions, feature requests, or bug reports, please open new issues on GitHub. To submit patches, please review PySAL's documentation for developers, 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, start a discussion, or talk to us in PySAL's Discord channel. All questions, comments, & discussions should happen in a public forum, where possible. Private messages and emails will not be answered in a substantive manner.

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 citations:

``` @article{Gaboardi2021, doi = {10.21105/joss.02826}, url = {https://doi.org/10.21105/joss.02826}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {62}, pages = {2826}, author = {James D. Gaboardi and Sergio Rey and Stefanie Lumnitz}, title = {spaghetti: spatial network analysis in PySAL}, journal = {Journal of Open Source Software} }

@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

Owner

Name: Python Spatial Analysis Library
Login: pysal
Kind: organization

Repositories: 37
Profile: https://github.com/pysal

JOSS Publication

spaghetti: spatial network analysis in PySAL

Published

June 04, 2021

DOI

10.21105/joss.02826

Volume 6, Issue 62, Page 2826

Authors

James D. Gaboardi

Pennsylvania State University

Sergio Rey

Center for Geospatial Sciences, University of California Riverside

Stefanie Lumnitz

Directorate of Earth Observation Programs, ESRIN, European Space Agency

Editor

Bruce E. Wilson

GitHub Events

Total

Issues event: 25
Watch event: 8
Delete event: 3
Issue comment event: 24
Push event: 4
Pull request review event: 2
Pull request event: 7
Fork event: 3
Create event: 4

Last Year

Issues event: 25
Watch event: 8
Delete event: 3
Issue comment event: 24
Push event: 4
Pull request review event: 2
Pull request event: 7
Fork event: 3
Create event: 4

Committers

Last synced: 5 months ago

All Time

Total Commits: 2,055
Total Committers: 24
Avg Commits per committer: 85.625
Development Distribution Score (DDS): 0.162

Past Year

Commits: 5
Committers: 3
Avg Commits per committer: 1.667
Development Distribution Score (DDS): 0.6

Top Committers

Name	Email	Commits
James Gaboardi	j**i@g**m	1,723
Serge Rey	s**y@g**m	122
Jay	j**a@a**u	73
dependabot[bot]	4****]	38
Wei Kang	w**9@g**m	22
James Gaboardi	j**i@f**u	21
pre-commit-ci[bot]	6****]	18
ljwolf	l**f@g**m	5
github-actions[bot]	4****]	5
David Folch	d**h@g**m	4
David Folch	d**h@t**l	4
Philip Stephens	p**s@g**m	3
rahul799	r**0@g**m	2
Stefanie Lumnitz	s**z@g**m	2
Omar	s**d@z**g	2
Sergio Rey	s**e@b**l	2
ljwolf	l**2@a**u	2
ggarzonie	7****e	1
Serge	s**e@x**h	1
Sergio Rey	s**e@l**n	1
Martin Fleischmann	m**n@m**t	1
Charles Schimdt	s**c@g**m	1
Arfon Smith	a****n	1
@tomgertin	t**n@v**u	1

Committer Domains (Top 20 + Academic)

asu.edu: 2 vt.edu: 1 martinfleischmann.net: 1 localhost.localdomain: 1 x1.pebblebeach: 1 zewailcity.edu.eg: 1 fsu.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time

Total issues: 69
Total pull requests: 105
Average time to close issues: almost 2 years
Average time to close pull requests: 1 day
Total issue authors: 8
Total pull request authors: 6
Average comments per issue: 2.19
Average comments per pull request: 0.62
Merged pull requests: 102
Bot issues: 0
Bot pull requests: 41

Past Year

Issues: 1
Pull requests: 8
Average time to close issues: N/A
Average time to close pull requests: about 2 hours
Issue authors: 1
Pull request authors: 2
Average comments per issue: 0.0
Average comments per pull request: 0.0
Merged pull requests: 6
Bot issues: 0
Bot pull requests: 8

View more stats

Top Authors

Issue Authors

jGaboardi (56)
iboates (3)
adhamenaya (2)
anitagraser (2)
bright1993ff66 (1)
Nilsonfsilva (1)
samueltoro7 (1)
ResidentMario (1)

Pull Request Authors

jGaboardi (69)
pre-commit-ci[bot] (26)
dependabot[bot] (17)
github-actions[bot] (5)
martinfleis (1)

Top Labels

Issue Labels

enhancement (21) bug (8) release (7) ci (7) docs (7) package maintenance (6) idea/suggestion/future work (6) github_actions (4) network stats (4) network allocation (4) discussion (3) priority-high (3) priority-mid (3) wishlist (2) rough edge (2) testing (2) priority-low (2) dependencies (2) requirements (2) good first issue (1) notebooks (1) network instantiation (1) help wanted (1) question (1) compatibility (1) copyright (1) version (1) codecov (1)

Pull Request Labels

github_actions (27) package maintenance (20) dependencies (20) ci (19) docs (14) release (5) testing (5) version (4) requirements (3) notebooks (2) codecov (2) rough edge (2) compatibility (2) copyright (1) enhancement (1) bug (1)

Packages

Total packages: 3
Total downloads:
- pypi 28,156 last-month
Total docker downloads: 218

Total dependent packages: 6
(may contain duplicates)
Total dependent repositories: 67
(may contain duplicates)
Total versions: 81
Total maintainers: 5

pypi.org: spaghetti

Analysis of Network-constrained Spatial Data

Homepage: https://pysal.org/spaghetti/
Documentation: https://spaghetti.readthedocs.io/
License: BSD 3-Clause
Latest release: 1.7.6
published over 1 year ago

Versions: 47
Dependent Packages: 2
Dependent Repositories: 41
Downloads: 28,156 Last month
Docker Downloads: 218

Rankings

Docker downloads count: 1.8%

Downloads: 2.2%

Dependent repos count: 2.3%

Average: 3.2%

Dependent packages count: 3.2%

Stargazers count: 4.2%

Forks count: 5.3%

Maintainers (5)

knaaptime sjsrey jGaboardi martinfleis ljwolf

Last synced: 4 months ago

conda-forge.org: spaghetti

Spaghetti is an open-source Python library for the analysis of network-based spatial data. Originating from the network module in [PySAL](http://pysal.org) (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.

Homepage: http://pysal.org/
License: BSD-3-Clause
Latest release: 1.6.10
published about 3 years ago

Versions: 26
Dependent Packages: 4
Dependent Repositories: 13

Rankings

Dependent repos count: 9.8%

Dependent packages count: 12.5%

Average: 17.8%

Forks count: 23.3%

Stargazers count: 25.6%

Last synced: 4 months ago

anaconda.org: spaghetti

Spaghetti is an open-source Python library for the analysis of network-based spatial data. Originating from the network module in [PySAL](https://pysal.org) (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.

Homepage: https://pysal.org/spaghetti
License: BSD-3-Clause
Latest release: 1.7.6
published 5 months ago

Versions: 8
Dependent Packages: 0
Dependent Repositories: 13

Rankings

Dependent repos count: 36.0%

Forks count: 36.6%

Stargazers count: 38.2%

Average: 40.5%

Dependent packages count: 51.2%

Last synced: 4 months ago

Dependencies

.github/workflows/build_docs.yml actions

actions/checkout v3 composite
ad-m/github-push-action master composite
mamba-org/provision-with-micromamba main composite

.github/workflows/release_and_publish.yml actions

actions/checkout v3 composite
actions/github-script v6 composite
actions/setup-python v4 composite
pypa/gh-action-pypi-publish release/v1 composite

.github/workflows/testing.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v3 composite
mamba-org/provision-with-micromamba main composite
pre-commit/action v3.0.0 composite

environment.yml conda

esda
geopandas >=0.12.0
libspatialindex
matplotlib
matplotlib-scalebar
numpy
pandas >=1.0
pip
pulp
python 3.11.*
rtree
scipy >=1.0
seaborn
shapely >=2
splot
watermark

pyproject.toml pypi

esda *
libpysal *
numpy *
pandas >=1.0
rtree *
scipy >=1.0

spaghetti

Science Score: 95.0%

Keywords

Keywords from Contributors

Scientific Fields

Basic Info

Statistics

Topics

Metadata Files

SPAtial GrapHs: nETworks, Topology, & Inference

Examples

Installation

Requirements

History

Contribute

Support

Code of Conduct

License

BibTeX Citation

Funding

JOSS Publication

spaghetti: spatial network analysis in PySAL

Authors

Editor

Tags

GitHub Events

Total

Last Year

All Time

Past Year

Top Committers

Committer Domains (Top 20 + Academic)

All Time

Past Year

Top Authors

Issue Authors

Pull Request Authors

Top Labels

Issue Labels

Pull Request Labels

Packages

pypi.org: spaghetti

Rankings

Maintainers (5)

conda-forge.org: spaghetti

Rankings

anaconda.org: spaghetti

Rankings

Dependencies