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deforestable

Classify RGB Images into Forest or Non-Forest

Implements two out-of box classifiers presented in <doi:10.1002/env.2848> 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.

Versions across snapshots

VersionRepositoryFileSize
3.1.2 rolling linux/noble R-4.5 deforestable_3.1.2.tar.gz 576.9 KiB
3.1.2 rolling source/ R- deforestable_3.1.2.tar.gz 493.5 KiB
3.1.2 rolling linux/jammy R-4.5 deforestable_3.1.2.tar.gz 575.3 KiB
3.1.2 latest linux/jammy R-4.5 deforestable_3.1.2.tar.gz 575.3 KiB
3.1.2 latest linux/noble R-4.5 deforestable_3.1.2.tar.gz 576.9 KiB
3.1.2 latest source/ R- deforestable_3.1.2.tar.gz 493.5 KiB
3.1.2 2026-04-26 source/ R- deforestable_3.1.2.tar.gz 493.5 KiB
3.1.2 2026-04-23 source/ R- deforestable_3.1.2.tar.gz 493.5 KiB
3.1.2 2026-04-09 windows/windows R-4.5 deforestable_3.1.2.zip 1006.7 KiB
3.1.1 2025-04-20 source/ R- deforestable_3.1.1.tar.gz 492.4 KiB

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