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A Python library for cartogaphic generalisation using Shapely and GeoPandas. In-depth API reference and user manual can be found in the documentation.

CartAGen is an open source Python library dedicated to cartogaphic generalisation, published under the EUPL-1.2 (European Union Public License). It is a port of the Java application, originally developed at IGN France.

It aims at providing a set of tools to generalise spatial data. Those tools constitutes the foundation on which you have to construct your own generalisation process. That being said, if you want to learn more about cartographic generalisation or simply want to familiarize yourself with the algorithms provided by CartAGen, some Jupyter notebooks are available here.

CartAGen relies on the usage of the Shapely geometry objects and GeoPandas dataset objects. This approach is based on the idea those libraries are the most commonly used among the community and provide advantages as powerful spatial operations, measures, indexes, etc. It is recommended for users to have an understanding of those libraries as CartAGen heavily relies on them.

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