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blockCV  

Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation
View on CRAN: Click here


Download and install blockCV package within the R console
Install from CRAN:
install.packages("blockCV")

Install from Github:
library("remotes")
install_github("cran/blockCV")

Install by package version:
library("remotes")
install_version("blockCV", "3.2-0")



Attach the package and use:
library("blockCV")
Maintained by
Roozbeh Valavi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-23
Latest Update: 2025-08-21
Description:
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 and point samples to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) .
How to cite:
Roozbeh Valavi (2020). blockCV: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation. R package version 3.2-0, https://cran.r-project.org/web/packages/blockCV. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 2.1.1 (2020-02-23 21:00), 2.1.4 (2021-06-17 06:50), 3.0-0 (2023-02-06 12:42), 3.1-1 (2023-04-08 11:00), 3.1-2 (2023-05-20 14:40), 3.1-3 (2023-06-04 15:20), 3.1-4 (2024-05-23 08:30), 3.1-5 (2024-11-01 09:20), 3.1-6 (2025-06-23 07:10)
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Complete documentation for blockCV
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