landmap: Automated Spatial Prediction using Ensemble Machine Learning

Functions and tools for spatial interpolation and/or prediction of environmental variables (points to grids) based on using Ensemble Machine Learning with geographical distances. Package also provides access to Global Environmental Layers (<>) produced by the foundation and collaborators. Some functions have been migrated and adopted from the Global Soil Information Facilities package.

Version: 0.0.13
Depends: R (≥ 3.5.0)
Imports: methods, utils, parallel, matrixStats, mlr, parallelMap, sp, geoR, plyr, rgdal, gdalUtils, raster, ranger, rpart, forestError, nnet, xgboost, kernlab, glmnet, ParamHelpers, spdep, maptools
Suggests: boot, nabor, meteo, mda, psych, fossil, rjson, spatstat, spatstat.core, maxlike, RCurl, deepnet, RSAGA, plotKML
Published: 2021-10-14
Author: Tomislav Hengl [aut, cre]
Maintainer: Tomislav Hengl <tom.hengl at>
License: GPL-3
NeedsCompilation: no
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>= 4.8.0)
CRAN checks: landmap results


Reference manual: landmap.pdf


Package source: landmap_0.0.13.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): landmap_0.0.13.tgz, r-release (x86_64): landmap_0.0.13.tgz, r-oldrel: landmap_0.0.13.tgz
Old sources: landmap archive

Reverse dependencies:

Reverse imports: plotKML


Please use the canonical form to link to this page.