dissever: Spatial Downscaling using the Dissever Algorithm

Spatial downscaling of coarse grid mapping to fine grid mapping using predictive covariates and a model fitted using the 'caret' package. The original dissever algorithm was published by Malone et al. (2012) <doi:10.1016/j.cageo.2011.08.021>, and extended by Roudier et al. (2017) <doi:10.1016/j.compag.2017.08.021>.

Version: 0.2-3
Imports: methods, caret, sp, raster, plyr, dplyr, foreach, boot, magrittr, viridis
Suggests: knitr, rmarkdown, randomForest, Cubist, gam, stats
Published: 2018-04-20
Author: Pierre Roudier [cre, aut], Brendan Malone [ctb]
Maintainer: Pierre Roudier <roudierp at landcareresearch.co.nz>
BugReports: https://github.com/pierreroudier/dissever/issues
License: GPL-2
URL: https://github.com/pierreroudier/dissever
NeedsCompilation: no
Materials: README
CRAN checks: dissever results

Documentation:

Reference manual: dissever.pdf
Vignettes: Dissever Tutorial

Downloads:

Package source: dissever_0.2-3.tar.gz
Windows binaries: r-devel: dissever_0.2-3.zip, r-release: dissever_0.2-3.zip, r-oldrel: dissever_0.2-3.zip
macOS binaries: r-release (arm64): dissever_0.2-3.tgz, r-oldrel (arm64): dissever_0.2-3.tgz, r-release (x86_64): dissever_0.2-3.tgz
Old sources: dissever archive

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