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) , and extended by Roudier et al. (2017) .


Travis-CI Build Status CRAN_Status_Badge Total_Downloads

What is dissever?

dissever is a general method for spatial downscaling introduced by Malone et al. in their 2012 Computers & Geosciences paper. This method has been extended and generalised by Roudier et al. to use and leverage a wide range of regression methods.

This package implements the latter in R, and modifies it so numerous regression methods can be tested. It leverages the power of the caret package to do so.

Installing dissever

To install the stable version of dissever:

install.packages('dissever')

To install the development version of dissever:

# install.packages('devtools')
devtools::install_github('pierreroudier/dissever')

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dissever")

0.2-3 by Pierre Roudier, a year ago


https://github.com/pierreroudier/dissever


Report a bug at https://github.com/pierreroudier/dissever/issues


Browse source code at https://github.com/cran/dissever


Authors: Pierre Roudier [cre, aut] , Brendan Malone [ctb]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, caret, sp, raster, plyr, dplyr, foreach, boot, magrittr, viridis

Suggests knitr, rmarkdown, randomForest, Cubist, gam, stats


See at CRAN