CRAN/E | deforestable

deforestable

Classify RGB Images into Forest or Non-Forest

Installation

About

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.

System requirements C++11, GDAL (>= 2.2.3), GEOS (>= 3.4.0), PROJ (>= 4.9.3), sqlite3

Key Metrics

Version 3.1.1
R ≥ 4.1.0
Published 2022-10-15 559 days ago
Needs compilation? yes
License GPL-3
CRAN checks deforestable results

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Maintainer

Maintainer

Dmitry Otryakhin

d.otryakhin.acad@protonmail.ch

Authors

Jesper Muren

aut

Dmitry Otryakhin

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

deforestable archive

Depends

R ≥ 4.1.0

Imports

terra
jpeg
plyr
StableEstim
Rcpp ≥ 1.0.9

Suggests

testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo