rvalavi/blockCV: Spatial and Environmental Blocking for K-Fold Cross-Validation

Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.

Getting started

Package details

MaintainerRoozbeh Valavi <valavi.r@gmail.com>
LicenseGPL-3
Version2.1.3
URL https://github.com/rvalavi/blockCV
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("rvalavi/blockCV")
rvalavi/blockCV documentation built on April 28, 2020, 10:32 a.m.