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: 0.0.11
Depends: R (≥ 3.5.0)
Imports: methods, utils, parallel, matrixStats, ranger, forestError, glmnet, mlr, parallelMap, sp, rgdal, gdalUtils, raster
Suggests: nabor, meteo, geoR, ParamHelpers, mda, psych, spdep, fossil, xgboost, plyr, kernlab, nnet, rjson, spatstat, spatstat.core, maptools, maxlike, RCurl, aqp, deepnet, RSAGA, soiltexture, snowfall, plotKML, boot
Published: 2021-05-27
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_0.0.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): not available, r-release (x86_64): landmap_0.0.11.tgz, r-oldrel: landmap_0.0.11.tgz
Old sources: landmap archive

Reverse dependencies:

Reverse imports: plotKML


Please use the canonical form to link to this page.