topocast: Moving-Window Regression Downscaling of Raster Data

Downscales coarse-resolution raster data to a finer grid by fitting local linear regressions of a response, such as a climate variable, on one or more fine-resolution predictors, such as elevation and other terrain indices, within a moving window. Regression coefficients are estimated for every cell using summed-area tables, so the cost is independent of the window size, then resampled to the target resolution and applied to the fine-resolution predictors. Multiplicative and additive anomaly application downscale time series relative to a baseline climatology, following the regression-on-elevation approach used for high-resolution climate surfaces described in Karger et al. (2017) <doi:10.1038/sdata.2017.122>.

Version:	0.0.5
Depends:	R (≥ 4.1.0)
Imports:	Rcpp (≥ 1.0.0), terra (≥ 1.7.0)
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, raster, rmarkdown, sf, stars, svglite, testthat (≥ 3.0.0)
Published:	2026-08-07
DOI:	10.32614/CRAN.package.topocast
Author:	Gilles Colling [aut, cre, cph]
Maintainer:	Gilles Colling <gilles.colling051 at gmail.com>
BugReports:	https://github.com/gcol33/topocast/issues
License:	MIT + file LICENSE
URL:	https://gillescolling.com/topocast/, https://github.com/gcol33/topocast
NeedsCompilation:	yes
SystemRequirements:	C++17
Language:	en-US
Citation:	topocast citation info
Materials:	README, NEWS
CRAN checks:	topocast results

Documentation:

Reference manual:	topocast.html , topocast.pdf
Vignettes:	Getting started with topocast (source, R code) How moving-window downscaling works (source, R code)

Downloads:

Package source:	topocast_0.0.5.tar.gz
Windows binaries:	r-devel: topocast_0.0.5.zip, r-release: topocast_0.0.5.zip, r-oldrel: topocast_0.0.5.zip
macOS binaries:	r-release (arm64): topocast_0.0.5.tgz, r-oldrel (arm64): topocast_0.0.5.tgz, r-release (x86_64): topocast_0.0.5.tgz, r-oldrel (x86_64): topocast_0.0.5.tgz

Linking:

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