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Geospatial data interpolation using satellite data.

Project description

Geospatial Random Cluster Ensemble Regression (GRaCE-R) is a method that interpolates sparse in-situ data to global coverage with satellite or any other globally availble data. The method breaks a geopatial regression problem into smaller parts using clustering and a regression is applied to each cluster. This is applied numerous times to create an ensemble of estimates. The average of the ensemble is used as the final output.

Installation

To install the core package run: pip install -e path_to_gracer.

  1. Clone GRaCE-R to your local machine: git clone –depth 1 https://gitlab.ethz.ch/gregorl/gracer.git (–depth 1 reduces the download size)
  2. Change to the parent directory of GRaCE-R
  3. Install glidertools with pip install -e ./gracer. This will allow changes you make locally, to be reflected when you import the package in Python

How you can contribute

Acknowledgements

  • This work is funded by the European Space Agency’s OceanSODA project.

Project details


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