Metadata-Version: 2.1
Name: SpatialCluster
Version: 0.0.83
Summary: Spatial cluster package
Home-page: https://github.com/AxlKings/SpatialCluster
Author: AxelReyesO (Axel Reyes O)
Author-email: <axel.reyes@sansano.usm.cl>
License: MIT
Keywords: python spatial urban cluster
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scikit-learn
Requires-Dist: tensorflow
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: matplotlib
Requires-Dist: folium
Requires-Dist: minisom
Requires-Dist: seaborn
Requires-Dist: geopandas
Requires-Dist: contextily

<h1 align="center">SpatialCluster</h1>

<p align="center">
    <em>
        SpatialCluster is a library developed in Python 3.8 that allows for the handling of tasks related to spatial data clustering. Its primary application domain is the clustering of urban spaces, such as urban regions and neighborhoods. The library implements several spatial clustering algorithms, including Deep Modularity Networks, Gaussian Mixture Models, and Information Theoretic-based Clustering, among others. It facilitates working with spatially distributed data in urban areas and using this data to infer spatial partitions of the area. In urban clustering, these tools produce urban maps that display spatial distributions based on socioeconomic variables, aesthetic perceptions, or other demographic features of interest. The library includes modules to import data, evaluate spatial clusters, and visualize them.
    </em>
</p>



## Installation

Install using `pip`!

```sh
$ pip install SpatialCluster
```

## Documentation in English

https://spatial-cluster-english-doc.readthedocs.io/en/latest/

## Documentation in Spanish

https://spatialcluster.readthedocs.io/en/latest/
