.. Rastereasy documentation master file

🚀 Rastereasy
=============

**Rastereasy** is a Python library designed for simple and efficient manipulation of georeferenced images (`*.tif`, `*.jp2`, `*.shp`, ...).

It aims to streamline geospatial workflows by providing intuitive tools for:

- Reading and processing raster and vector files.
- Resampling, cropping, reprojecting, stacking, and more.
- Creating visualizations (e.g., color composites, interactive spectral plots).
- Training and applying classical Machine Learning algorithms.
- Performing late fusion of classifications (e.g., Dempster-Shafer theory).

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📚 **Getting Started**
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.. toctree::
   :maxdepth: 2


   rastereasy
   installation
   quickstart
   releases
   contributors
   code

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🧪 **Examples Gallery**
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.. toctree::
   :maxdepth: 2
   :caption: Examples

   my_html_gallery



🛠️ **API Reference**
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.. toctree::
   :maxdepth: 2
   :caption: API Reference

   modules
   api

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🚀 **Main Features**
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- Easy reading and writing of georeferenced raster and vector data.
- Intuitive tools for reprojection, resampling, cropping, and mosaicking.
- Support for visualization and spectral analysis.
- Integration with scikit-learn for machine learning tasks.
- Tools for classification fusion and spatial reasoning.

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🔍 **Indices and Tables**
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* :ref:`genindex`
* :ref:`search`