Package: spatialcvR
Title: Spatial Cross-Validation for Machine Learning
Version: 0.1.0
Authors@R: 
    person(given = "Mamadou",
           family = "SOW",
           role = c("aut", "cre"),
           email = "sowsalim01@gmail.com")
Description: Spatial cross-validation and model evaluation for geospatial machine learning applications. Addresses spatial dependence in observations by implementing spatial block, buffered, and clustering cross-validation methods. Includes spatial leakage detection, model performance metrics, and spatial residual diagnostics for assessing model generalization across geographic space. Methods based on Brenning (2012) <doi:10.1016/j.cageo.2012.02.001>, Pohjankukka et al. (2017) <doi:10.1016/j.isprsjprs.2017.07.001>, and Roberts et al. (2017) <doi:10.1111/ecog.02881>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: sf (>= 1.0-0)
Suggests: dplyr (>= 1.0.0), ggplot2 (>= 3.4.0), tidymodels (>= 1.0.0),
        rsample (>= 1.0.0), testthat (>= 3.0.0), knitr (>= 1.40),
        rmarkdown (>= 2.14), terra (>= 1.5.0)
VignetteBuilder: knitr
URL: https://sowsalim01.github.io/spatialcvR/,
        https://github.com/sowsalim01/spatialcvR
BugReports: https://github.com/sowsalim01/spatialcvR/issues
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-09-26 16:42:03 UTC; hp
Author: Mamadou SOW [aut, cre]
Maintainer: Mamadou SOW <sowsalim01@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-10-07 08:10:02 UTC
Built: R 4.5.2; ; 2026-10-07 09:57:18 UTC; unix
