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:	1.3-4
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:	2025-05-02
DOI:	10.32614/CRAN.package.InterpolateR
Author:	Jonnathan Landi [aut, cre, cph]
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.pdf
Vignettes:	A Comprehensive Toolkit for Fast and Efficient Spatial Interpolation (source, R code)

Downloads:

Package source:	InterpolateR_1.3-4.tar.gz
Windows binaries:	r-devel: InterpolateR_1.2-0.zip, r-release: InterpolateR_1.2-0.zip, r-oldrel: InterpolateR_1.2-0.zip
macOS binaries:	r-release (arm64): InterpolateR_1.2-0.tgz, r-oldrel (arm64): InterpolateR_1.2-0.tgz, r-release (x86_64): InterpolateR_1.3-4.tgz, r-oldrel (x86_64): InterpolateR_1.3-4.tgz
Old sources:	InterpolateR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=InterpolateR to link to this page.