Package: deforestable 3.1.1

deforestable: Classify RGB Images into Forest or Non-Forest

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.

Authors:Jesper Muren [aut], Dmitry Otryakhin [aut, cre]

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deforestable.pdf |deforestable.html✨
deforestable/json (API)

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8 exports 0.00 score 50 dependencies 18 scripts 254 downloads

Last updated 2 years agofrom:a17cede3ac. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:classifycreateDataPartitioncreateFoldsKoutparamsread_dataread_data_matrixread_data_rastertrain

Dependencies:briocallrclicrayondescdiffobjdigestevaluatefansifBasicsfsgluegssjpegjsonlitelatticelifecyclemagrittrMASSMatrixnumDerivpillarpkgbuildpkgconfigpkgloadplyrpraiseprocessxpsR6rbibutilsRcppRcppArmadilloRdpackrematch2rlangrprojrootspatialstabledistStableEstimterratestthattibbletimeDatetimeSeriesutf8vctrswaldowithrxtable