Geospatial data interpolation using satellite data.
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.
To install the core package run: pip install -e path_to_gracer.
- Clone GRaCE-R to your local machine: git clone –depth 1 https://gitlab.ethz.ch/gregorl/gracer.git (–depth 1 reduces the download size)
- Change to the parent directory of GRaCE-R
- 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
- Error reporting with using GitLab (https://gitlab.ethz.ch/gregorl/gracer/issues/new). Please copy the entire error message (even if it’s long).
- Detailed error reporting so users know where the fault lies.
- This work is funded by the European Space Agency’s OceanSODA project.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size gracer-2020.2-py3-none-any.whl (13.6 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size gracer-2020.2.tar.gz (12.5 kB)||File type Source||Python version None||Upload date||Hashes View|