blockCV R package - Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

The package allows creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments. Moreover, it permits to investigate and visualise 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), https://doi.org/10.1111/2041-210X.13107.

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Date ( Publication)
2023-06-04
Status
Completed
Author
  - Roozbeh Valavi

Creator
  - Jane Elith

Creator
  - José Lahoz-Monfort

Creator
  - Gurutzeta Guillera-Arroita

Keywords

modelling
Keywords

k-fold validation
Keywords

cross validation
Keywords

spatial datasets
Keywords

R
Access constraints
License
Use limitation

https://cran.r-project.org/web/licenses/GPL-3

OnLine resource
CRAN link (

WWW:LINK-1.0-http--link

 )
Required Services

R (≥ 3.5.0)
Topic Category
Species distribution
Service Category

model preparation
Service Category

model evaluation
Service Category

modelling
Service Language
eng
Service TRL
TRL 9 – Actual system proven in operational environment
Service User Manual

https://cran.r-project.org/web/packages/blockCV/blockCV.pdf

Metadata

File identifier
1f6195f5-e708-4ba3-bf3e-fa3a4f74e036 XML
Metadata language
en
Hierarchy level
Service
Metadata Schema Version

3.1.3
 
 

Overviews

overview
modelling.jpg

Spatial extent

Keywords



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