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rassta
View on CRAN: Click
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Download and install rassta package within the R console
Install from CRAN:
install.packages("rassta")
Install from Github:
library("remotes")
install_github("cran/rassta") Install by package version:
library("remotes")
install_version("rassta", "1.0.6") Attach the package and use:
library("rassta")
Maintained by
Bryan A. Fuentes
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[Scholar Profile | Author Map]
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First Published: 2021-09-22
Latest Update: 2024-08-19
Description:
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. The
theoretical background of the algorithms and code examples are presented in Fuentes, Dorantes,
and Tipton (2021). .
How to cite:
Bryan A. Fuentes (2021). rassta: Raster-Based Spatial Stratification Algorithms. R package version 1.0.6, https://cran.r-project.org/web/packages/rassta. Accessed 07 Mar. 2026.
Previous versions and publish date:
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Complete documentation for rassta
Functions, R codes and Examples using
the rassta R package
Some associated functions: dummies . engine . figure . locations . observation . plot3D . predict_functions . select_functions . signature . similarity . som_gap . som_pam . strata .
Some associated R codes: Full rassta package functions and examples
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