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) .


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install.packages("blockCV")

2.1.1 by Roozbeh Valavi, a month ago


https://github.com/rvalavi/blockCV


Browse source code at https://github.com/cran/blockCV


Authors: Roozbeh Valavi [aut, cre] , Jane Elith [aut] , José Lahoz-Monfort [aut] , Gurutzeta Guillera-Arroita [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports raster, sf, progress

Suggests knitr, ggplot2, cowplot, automap, rgeos, future, future.apply, shiny, shinydashboard, geosphere, methods, rmarkdown, testthat, covr


See at CRAN