topocast
0.0.5Moving-Window Regression Downscaling of Raster Data
Overview
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.
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- OK2026-08-086 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
People & History
1 release. R releases are shown for context.
- 0.0.5Latest2026-08-07 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-07
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
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- With dependencies
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