InterpolateR: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation

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.

Version: 1.4-3
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
Published: 2025-09-04
DOI: 10.32614/CRAN.package.InterpolateR
Author: Jonnathan Landi ORCID iD [aut, cre, cph], Marco Mogro ORCID iD [aut]
Maintainer: Jonnathan Landi <jonnathan.landi at outlook.com>
BugReports: https://github.com/Jonnathan-Landi/InterpolateR/issues
License: GPL (≥ 3)
URL: https://github.com/Jonnathan-Landi/InterpolateR
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: InterpolateR results

Documentation:

Reference manual: InterpolateR.html , InterpolateR.pdf
Vignettes: A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation (source, R code)

Downloads:

Package source: InterpolateR_1.4-3.tar.gz
Windows binaries: r-devel: InterpolateR_1.4-3.zip, r-release: InterpolateR_1.4-3.zip, r-oldrel: InterpolateR_1.4-3.zip
macOS binaries: r-release (arm64): InterpolateR_1.4-3.tgz, r-oldrel (arm64): InterpolateR_1.4-3.tgz, r-release (x86_64): InterpolateR_1.4-3.tgz, r-oldrel (x86_64): InterpolateR_1.4-3.tgz
Old sources: InterpolateR archive

Linking:

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