A clustering tool for geospatial applications
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CGC: Clustering Geo-Data Cubes
Clustering Geo-Data Cubes (CGC) is a Python package to perform clustering analysis for multidimensional geospatial data. The included tools allow the user to efficiently run tasks in parallel on local and distributed systems.
Installation
To install cgc, do:
pip install clustering-geodata-cubes
Alternatively, you can clone this repository and install it using pip:
git clone https://github.com/phenology/cgc.git
cd cgc
pip install .
Run tests (including coverage) with:
python setup.py test
Documentation
The project’s full documentation can be found here.
Contributing
If you want to contribute to the development of cgc, have a look at the contribution guidelines.
License
Copyright (c) 2020,
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an “AS IS” BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Credits
This package was created with Cookiecutter and the NLeSC/python-template.
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