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https://github.com/pysal/spaghetti
SPAtial GrapHs: nETworks, Topology, & Inference
https://github.com/pysal/spaghetti
gis graph-theory network-analysis pysal python spatial-network topology
Last synced: 3 months ago
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SPAtial GrapHs: nETworks, Topology, & Inference
- Host: GitHub
- URL: https://github.com/pysal/spaghetti
- Owner: pysal
- License: bsd-3-clause
- Created: 2017-04-14T21:39:52.000Z (over 7 years ago)
- Default Branch: main
- Last Pushed: 2024-07-12T12:51:01.000Z (4 months ago)
- Last Synced: 2024-07-13T03:07:38.046Z (4 months ago)
- Topics: gis, graph-theory, network-analysis, pysal, python, spatial-network, topology
- Language: Python
- Homepage: http://pysal.org/spaghetti/
- Size: 185 MB
- Stars: 263
- Watchers: 29
- Forks: 69
- Open Issues: 25
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# [pysal/spaghetti](http://pysal.org/spaghetti/)
# *SPA*tial *G*rap*H*s: n*ET*works, *T*opology, & *I*nference
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)](http://pysal.org), 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](https://pysal.org/spaghetti/generated/spaghetti.spanning_tree.html#spaghetti.spanning_tree):*
|[](https://badge.fury.io/py/spaghetti)| [](https://anaconda.org/conda-forge/spaghetti) |  | [](https://mybinder.org/v2/gh/pysal/spaghetti/main)
|:---:|:---:|:---:|:---:|
|[](https://pepy.tech/project/spaghetti) | [](https://anaconda.org/conda-forge/spaghetti) | [](http://pysal.org/spaghetti/) | [](https://discord.gg/BxFTEPFFZn)
|  | [](https://github.com/conda-forge/spaghetti-feedstock) | [](https://codecov.io/gh/pysal/spaghetti) | [](https://github.com/astral-sh/ruff)
| [](https://github.com/pysal/spaghetti/actions/workflows/testing.yml) | [](https://joss.theoj.org/papers/52b8d0c81bbf311465b45bfc26379e74) | [](https://zenodo.org/badge/latestdoi/88305306) | [](https://opensource.org/licenses/BSD-3-Clause)
## 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](https://pysal.org/spaghetti/tutorials.html) section of the documentation. See the [`pysal/notebooks`](http://pysal.org/notebooks) project for a [`jupyter-book`](https://github.com/choldgraf/jupyter-book) version of this repository.
* [Quickstart](https://pysal.org/spaghetti/notebooks/quickstart.html)
* [Shortest Path Visualization](https://pysal.org/spaghetti/notebooks/shortest-path-visualization.html)
* [Caveats](https://pysal.org/spaghetti/notebooks/caveats.html)
## Installation
Python >= [3.10](https://docs.python.org/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`](https://github.com/conda-forge/spaghetti-feedstock) (highly recommended)**
To install `spaghetti` and all its dependencies, we recommend using the [`conda`](https://docs.conda.io/en/latest/)
manager, specifically with the [`conda-forge`](https://conda-forge.org) channel. This can be obtained by installing the [`Anaconda Distribution`](https://docs.continuum.io/anaconda/) (a free Python distribution for data science), or through [`miniconda`](https://docs.conda.io/en/latest/miniconda.html) (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](https://geopandas.readthedocs.io/en/latest/getting_started/install.html#creating-a-new-environment) to create a fresh environment for working with spatial data.
**Installing with [`PyPI`](https://pypi.org/project/spaghetti/)**
```
$ 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
- [`esda`](https://pysal.org/esda/)
- [`geopandas`](https://geopandas.org/en/stable/)
- [`libpysal`](https://pysal.org/libpysal/)
- [`libspatialindex`](https://libspatialindex.org/en/stable/)
- [`numpy`](https://numpy.org/devdocs/)
- [`rtree`](https://rtree.readthedocs.io/en/stable/)
- [`scipy`](http://scipy.github.io/devdocs/)
- [`shapely`](https://shapely.readthedocs.io/en/stable/)
## 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`](https://pysal.org/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](https://github.com/pysal/spaghetti/issues) on GitHub. To submit patches, please review [PySAL's documentation for developers](https://pysal.org/docs/devs/), the PySAL [development guidelines](https://github.com/pysal/pysal/wiki), the `spaghetti` [contributing guidelines](https://github.com/pysal/spaghetti/blob/main/.github/CONTRIBUTING.md) before opening a [pull request](https://github.com/pysal/spaghetti/pulls). Once your changes get merged, you’ll automatically be added to the [Contributors List](https://github.com/pysal/spaghetti/graphs/contributors).
## Support
If you are having issues, please [create an issue](https://github.com/pysal/spaghetti/issues), start a [discussion](https://github.com/pysal/spaghetti/discussions), or talk to us in [PySAL's Discord channel](https://discord.gg/BxFTEPFFZn). 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](https://github.com/pysal/governance/blob/main/conduct/code_of_conduct.rst) under the [PySAL governance model](https://github.com/pysal/governance).
## License
The project is licensed under the [BSD 3-Clause license](https://github.com/pysal/spaghetti/blob/main/LICENSE.txt).
## 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:
[
](https://atlantardc.wordpress.com) Atlanta Research Data Center: [A Polygon-Based Approach to Spatial Network Allocation](https://atlantardc.files.wordpress.com/2018/05/ardc-newsletter_2018_2.pdf)
[
](https://www.nsf.gov/index.jsp) National Science Foundation Award #1825768: [National Historical Geographic Information System](https://www.nsf.gov/awardsearch/showAward?AWD_ID=1825768&HistoricalAwards=false)