Package: landmap
Title: Automated Spatial Prediction using Ensemble Machine Learning
Version: 0.0.9
Authors@R: person("Tomislav", "Hengl", email = "tom.hengl@opengeohub.org", role = c("aut", "cre"))
Description: 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 (<https://www.OpenLandMap.org>) produced by the OpenGeoHub.org foundation and collaborators. Some functions have been migrated and adopted from the
   Global Soil Information Facilities package.
Depends: R (>= 3.5.0)
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/envirometrix/landmap/
BugReports: https://github.com/envirometrix/landmap/issues/
Imports: methods, utils, parallel, matrixStats, ranger, forestError,
        glmnet, mlr, parallelMap, sp, rgdal, meteo, gdalUtils, raster
Suggests: geoR, ParamHelpers, mda, psych, spdep, fossil, xgboost, plyr,
        kernlab, nnet, rjson, spatstat, spatstat.core, maptools,
        maxlike, RCurl, aqp, deepnet, RSAGA, soiltexture, snowfall,
        plotKML, boot
RoxygenNote: 7.1.1
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>=
        4.8.0)
NeedsCompilation: no
Packaged: 2021-04-20 20:24:09 UTC; tomislav
Author: Tomislav Hengl [aut, cre]
Maintainer: Tomislav Hengl <tom.hengl@opengeohub.org>
Repository: CRAN
Date/Publication: 2021-04-21 06:00:13 UTC
Built: R 3.6.3; ; 2021-05-12 21:45:16 UTC; windows
