Package: blockCV 3.1-5

blockCV: Spatial and Environmental Blocking for K-Fold and LOO 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 and point samples 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>.

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

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# Install 'blockCV' in R:
install.packages('blockCV', repos = c('https://rvalavi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rvalavi/blockcv/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

cross-validationspatialspatial-cross-validationspatial-modellingspecies-distribution-modelling

10.41 score 109 stars 3 packages 288 scripts 1.5k downloads 5 mentions 13 exports 13 dependencies

Last updated 23 days agofrom:17669154b2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-win-x86_64OKNov 21 2024
R-4.5-linux-x86_64OKNov 21 2024
R-4.4-win-x86_64OKNov 21 2024
R-4.4-mac-x86_64OKNov 21 2024
R-4.4-mac-aarch64OKNov 21 2024
R-4.3-win-x86_64OKNov 21 2024
R-4.3-mac-x86_64OKNov 21 2024
R-4.3-mac-aarch64OKNov 21 2024

Exports:bufferingcv_block_sizecv_buffercv_clustercv_nndmcv_plotcv_similaritycv_spatialcv_spatial_autocorenvBlockrangeExplorerspatialAutoRangespatialBlock

Dependencies:classclassIntDBIe1071KernSmoothmagrittrMASSproxyRcpps2sfunitswk

blockCV introduction: how to create block cross-validation folds

Roozbeh Valavi, Jane Elith, José Lahoz-Monfort and Gurutzeta Guillera-Arroita

Rendered fromtutorial_1.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2023-05-20
Started: 2023-01-29

Block cross-validation for species distribution modelling

Roozbeh Valavi, Jane Elith, José Lahoz-Monfort and Gurutzeta Guillera-Arroita

Rendered fromtutorial_2.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2024-05-01
Started: 2023-01-29