Commit 9c1f9830 authored by Leandro Parente's avatar Leandro Parente
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README.md

parent 299cdecb
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[Release Notes](NEWS.md) [Release Notes](NEWS.md)
eumap is a library to enable easier access to EU environmental maps and functions to produce and improve new value-added spatial layers. eumap is a library to enable easier access to EU environmental maps and functions to produce and improve new value-added spatial layers.
It implements efficient spatial and spatiotemporal overlay, High Performance Computing, extends the Ensemble Machine Learning algorithms developed within the [mlr3](https://mlr3.mlr-org.com/) framework. It implements efficient spatial and spatiotemporal overlay, High Performance Computing, extends the Ensemble Machine Learning algorithms developed within the [mlr3](https://mlr3.mlr-org.com/) and [scikit-learn](https://scikit-learn.org) framework.
eumap builds upon various existing softare, especially on GDAL, R and Python packages for spatial analysis and Machine Learning libraries. eumap builds upon various existing softare, especially on GDAL, R and Python packages for spatial analysis and Machine Learning libraries.
pyeumap Workflow pyeumap Workflow
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# pyeumap # pyeumap
## [eumap](https://gitlab.com/geoharmonizer_inea/eumap) Python package
pyeumap, the python package for eumap library, implements the follow workflow:
![pyeumap Workflow](../img/pyeumap_workflow.png)
## Installing ## Installing
...@@ -7,3 +10,10 @@ With `pip`: ...@@ -7,3 +10,10 @@ With `pip`:
``` ```
python -m pip install -U git+https://gitlab.com/geoharmonizer_inea/eumap.git#pyeumap python -m pip install -U git+https://gitlab.com/geoharmonizer_inea/eumap.git#pyeumap
``` ```
## Usage
The follow code demonstration are based in this [benchmark dataset for land-cover classification](http://doi.org/10.5281/zenodo.4058447), available for different areas of the EU.
* [Temporal Gap-filling Demonstration](../demo/python/01_temporal_gapfilling.ipynb)
* [Overlay Demonstration](../demo/python/02_overlay.ipynb)
* [Land-Cover Mapping](../demo/python/03_landcover_mapping.ipynb)
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