rassta (raster-basedspatialstratificationalgorithms) is a collection of algorithms for thespatial stratification of landscapes, sampling, and modeling ofspatially-varying phenomena inR.
rassta offers a simple framework for the stratificationof geographic space based on raster layers representing landscapefactors and/or factor scales. The stratification process follows ahierarchical approach, which is based on first level units (i.e.,classification units) and second-level units (i.e., stratificationunits). Nonparametric techniques allow to measure the correspondencebetween the geographic space and the landscape configuration representedby the units. These correspondence metrics are useful to define samplingschemes and to model the spatial variability of environmentalphenomena.
rassta is available from CRAN, so the currentreleased version can be installed as follows:
install.packages("rassta")To install the development version from github, please use:
remotes::install_github("bafuentes/rassta")
Full documentation ofrassta including some vignettescan be foundhere
rassta greatly benefits from past and current efforts tomake spatial data analysis fully operational in R, which in turn havebenefited from titans like GDAL, PROJ, GEOS, etc. Special thanks to theminds behind theterra,rgdal,rgeos, andsf packages, and those behind theother packages thatrassta depends on as well.
A journal article describing the methods and theoretical backgroundofrassta has been published by the R Journal and it isavailable here:https://doi.org/10.32614/RJ-2022-036. You can usecitation("rassta") to get a BibTeX entry for LaTeX.