[R-sig-Geo] Landmap package - automated mapping using Ensemble Machine Learning

[Tomislav Hengl]

I've wrapped functions extending #SuperLearner and #subsemble R pkgs 
(Ensemble Machine Learning) which now can be used to generate Spatial 
Predictions (fully automated framework, requires no special 
geostatistical assumptions or choices). You can install the working 
package from:

https://github.com/Envirometrix/landmap

The general method is explained in https://peerj.com/articles/5518/

The package can also be used to download some of the 2TB GeoTiffs 
available via https://openlandmap.org.

Contributions and comments are welcome.

Few things I am still struggling with are:

1. Deriving prediction errors and predictions intervals 
(https://github.com/Envirometrix/landmap/blob/master/R/train.spLearner.R#L252),
2. Generating spatial simulations using EML models,
3. Building models with larger data sets e.g. >>1000 points,

Thanks in advance,

Tom Hengl
https://opengeohub.org/people/tom-hengl