Steven Pawley

Pyspatialml. Machine learning modelling for spatial data

recipeselectors. Additional recipes for supervised feature selection to be used with the tidymodels recipes package

colino. Recipes Steps for Supervised Filter-Based Feature Selection

Rsagacmd. A package for linking R with the open-source SAGA-GIS

h2oparsnip. Model Wrappers for H2O models

r.learn.ml2. GRASS GIS addon for applying machine learning to GRASS GIS spatial data

spatial-docker. Dockerfile

spatialrecipes. R

nscore. Simple package containing normal score and back transformation function for kriging

rgee-scripts. R

mlrUtils. Simple R functions related to the MLR package including calibrating binary classification probabilities using the platt and isotonic regression methods

parsnipExtra. Extra model specifications for use with the parsnip package

stacbuildr. Package to generate SpatioTemporal Asset Catalogs (STAC) using the R statistical programming language