Automatically creates separate regression models for different spatial regions. The prediction surface is smoothed using a novel method developed by the package creator. If regional models are continuous, the resulting prediction surface is continuous across the spatial dimensions, even at region borders.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | graphics (≥ 3.6.0), parallel (≥ 3.6.0), sf (≥ 0.9.6), stats (≥ 3.6.0), units (≥ 0.6.7), utils (≥ 3.6.0) |
| Suggests: | dplyr (≥ 1.0.2), ggplot2 (≥ 3.3.2), knitr (≥ 1.30), lwgeom (≥ 0.2.5), magrittr (≥ 2.0.1), maps (≥ 3.3.0), mgcv (≥ 1.8.33), rmarkdown (≥ 2.5), tibble (≥ 3.0.4) |
| Published: | 2021-01-14 |
| Author: | Jadon Wagstaff [aut, cre] |
| Maintainer: | Jadon Wagstaff <jadonw at gmail.com> |
| BugReports: | https://github.com/jadonwagstaff/remap/issues |
| License: | GPL-3 |
| URL: | https://github.com/jadonwagstaff/remap |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | remap results |
| Reference manual: | remap.pdf |
| Vignettes: |
Introduction to remap |
| Package source: | remap_0.2.0.tar.gz |
| Windows binaries: | r-devel: remap_0.2.0.zip, r-release: remap_0.2.0.zip, r-oldrel: remap_0.2.0.zip |
| macOS binaries: | r-release: remap_0.2.0.tgz, r-oldrel: remap_0.2.0.tgz |
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