Authors: Harrison Zhu*, Adam Howes, Owen van Eer, Maxime Rischard, Yingzhen Li, Dino Sejdinovic, Seth Flaxman
*Corresponding author: harrison.zhu15@imperial.ac.uk
https://arxiv.org/pdf/2105.01460.pdf
Download scripts available in data
tensorflow
gpflow
matplotlib
scipy
numpy
pyjson
contextily
geopandas
pandas
sklearn
tqdm
earthengine-api
shapely
Simply run python setup.py install .
Obtain access to Google Earth Engine Python API first https://earthengine.google.com/new_signup/.
Run cd data/crops/; python download_yields.py; python processed_yields.py; cd ../../
. You may need to authenticate once.
Go to the respective files in notebooks
. One caveat is that to create the inducing points (saved as a csv), you need to run cd notebooks/usa_crops; python MVBAgg.py
first.
Results are saved in results
.
The visualisations are in the visualisations.ipynb
notebooks for each experiment.
License available at License