# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "topocast" in publications use:' type: software license: MIT title: 'topocast: Moving-Window Regression Downscaling of Raster Data' version: 0.0.5 identifiers: - type: doi value: 10.32614/CRAN.package.topocast abstract: 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) . authors: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066 preferred-citation: type: manual title: 'topocast: Moving-Window Regression Downscaling of Raster Data' authors: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066 year: '2026' notes: R package version 0.0.5 url: https://github.com/gcol33/topocast repository: https://cran.r-universe.dev repository-code: https://github.com/gcol33/topocast commit: 5511e785c6d7c47beec3872241e961c524b9317b url: https://gillescolling.com/topocast/ date-released: '2026-08-07' contact: - family-names: Colling given-names: Gilles email: gilles.colling051@gmail.com orcid: https://orcid.org/0000-0003-3070-6066