DESCRIPTION

Package: landmap
Title: Automated Spatial Prediction using Ensemble Machine Learning
Version: 0.0.14
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,
    mlr,
    parallelMap,
    sp,
    plyr,
    rgdal,
    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
RoxygenNote: 7.1.1
SystemRequirements: C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0),
    PROJ (>= 4.8.0)