Implements two out-of box classifiers presented in <doi:10.48550/arXiv.2112.01063> for distinguishing forest and non-forest terrain images. Under these algorithms, there are frequentist approaches: one parametric, using stable distributions, and another one- non-parametric, using the squared Mahalanobis distance. The package also contains functions for data handling and building of new classifiers as well as some test data set.
Version: 3.1.1 Depends: R (≥ 4.1.0) Imports: terra, jpeg, plyr, StableEstim, Rcpp (≥ 1.0.9) LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (≥ 3.0.0) Published: 2022-10-15 DOI: 10.32614/CRAN.package.deforestable Author: Jesper Muren [aut], Dmitry Otryakhin [aut, cre] Maintainer: Dmitry Otryakhin <d.otryakhin.acad at protonmail.ch> License: GPL-3 NeedsCompilation: yes SystemRequirements: C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3 CRAN checks: deforestable results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=deforestable to link to this page.
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