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topocast  

Moving-Window Regression Downscaling of Raster Data
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Download and install topocast package within the R console
Install from CRAN:
install.packages("topocast")

Install from Github:
library("remotes")
install_github("cran/topocast")

Install by package version:
library("remotes")
install_version("topocast", "0.0.5")



Attach the package and use:
library("topocast")
Maintained by
Gilles Colling
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First Published: 2026-08-07
Latest Update: 2026-08-07
Description:
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>.
How to cite:
Gilles Colling (2026). topocast: Moving-Window Regression Downscaling of Raster Data. R package version 0.0.5, https://cran.r-project.org/web/packages/topocast. Accessed 24 Oct. 2026.
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