The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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, r-oldrel (x86_64): dissever_0.2-3.tgz
Old sources: dissever archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dissever to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.