Data for the paper "Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data"

  • Adam Tonks (Creator)

Dataset

Description

This is the data used in the paper "Forecasting West Nile Virus with Graph Neural Networks: Harnessing Spatial Dependence in Irregularly Sampled Geospatial Data". A preprint may be found at https://doi.org/10.48550/arXiv.2212.11367

Code from the Github repository https://github.com/adtonks/mosquito_GNN can be used with the data here to reproduce the paper's results. v1.0.0 of the code is also archived at https://doi.org/10.5281/zenodo.7897830
Date made availableJan 5 2023
PublisherUniversity of Illinois Urbana-Champaign

Keywords

  • gnn
  • west nile virus
  • machine learning
  • graph neural network
  • illinois
  • mosquito
  • trap
  • geospatial

Cite this