A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation R package InterpolateR version 1.4-3 Spatial interpolation toolkit designed for environmental and geospatial applications. It includes a range of methods, from traditional techniques to advanced machine learning approaches, ensuring accurate and efficient estimation of values in unobserved locations. Software Depends: R (>= 4.4.0) Imports: data.table, future.apply, future, stats, terra, pbapply, randomForest, qmap Suggests: knitr, rmarkdown, testthat (>= 3.0.0), covr, withr, ncdf4 Jonnathan Landi <jonnathan.landi@outlook.com> Comprehensive R Archive Network (CRAN) Jonnathan Landi [aut, cre, cph] (ORCID: <https://orcid.org/0009-0003-3162-6647>), Marco Mogro [aut] (ORCID: <https://orcid.org/0009-0007-1802-9417>) GPL (>= 3) 2025-09-04 application/tgz https://CRAN.R-project.org/package=InterpolateR doi:10.32614/CRAN.package.InterpolateR