Raster-Based Spatial Stratification Algorithms

Algorithms for the spatial stratification of landscapes, sampling and modeling of spatially-varying phenomena. These algorithms offer a simple framework for the stratification of geographic space based on raster layers representing landscape factors and/or factor scales. The stratification process follows a hierarchical approach, which is based on first level units (i.e., classification units) and second-level units (i.e., stratification units). Nonparametric techniques allow to measure the correspondence between the geographic space and the landscape configuration represented by the units. These correspondence metrics are useful to define sampling schemes and to model the spatial variability of environmental phenomena.


Reference manual

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1.0.1 by Bryan A. Fuentes, 7 days ago


Report a bug at https://github.com/bafuentes/rassta/issues/

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

Authors: Bryan A. Fuentes [aut, cre] , Minerva J. Dorantes [aut] , John Tipton [aut] (<https://orcid.org/0000-0002-6135-8141>) , Robert J. Hijmans [ctb]

Documentation:   PDF Manual  

AGPL (>= 3) license

Imports cluster, data.table, dplyr, DT, foreach, GGally, ggplot2, grDevices, histogram, KernSmooth, kohonen, plotly, raster, rlang, scales, shiny, stats, stringdist, stringi, terra, utils

Suggests testthat, tinytest, doParallel

See at CRAN