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.
| 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 opengeohub.org> |
| BugReports: |
https://github.com/envirometrix/landmap/issues/ |
| License: |
GPL-3 |
| URL: |
https://github.com/envirometrix/landmap/ |
| NeedsCompilation: |
no |
| SystemRequirements: |
C++11, GDAL (>= 2.0.1), GEOS (>= 3.4.0), PROJ (>=
4.8.0) |
| CRAN checks: |
landmap results |