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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "spatialcvR" in publications use:'
type: software
license: MIT
title: 'spatialcvR: Spatial Cross-Validation for Machine Learning'
version: 0.1.0
doi: 10.32614/CRAN.package.spatialcvR
abstract: 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) <https://doi.org/10.1016/j.cageo.2012.02.001>,
  Pohjankukka et al. (2017) <https://doi.org/10.1016/j.isprsjprs.2017.07.001>, and
  Roberts et al. (2017) <https://doi.org/10.1111/ecog.02881>.
authors:
- family-names: SOW
  given-names: Mamadou
  email: sowsalim01@gmail.com
repository: https://sowsalim01.r-universe.dev
repository-code: https://github.com/sowsalim01/spatialcvR
commit: eab19c88a0c5f65156923b388f6fcc2dc4851664
url: https://sowsalim01.github.io/spatialcvR/
date-released: '2026-09-26'
contact:
- family-names: SOW
  given-names: Mamadou
  email: sowsalim01@gmail.com