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) .


Reference manual

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2.1.4 by Roozbeh Valavi, 6 months ago

Browse source code at

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, rgdal, future, future.apply, shiny, shinydashboard, geosphere, methods, rmarkdown, testthat, covr

Imported by forestecology.

Suggested by BiodiversityR, ENMeval, mlr3spatiotempcv, sdmApp.

See at CRAN