machine_predictor: Predict by raster stack and machine learning model

In whamer/papros: PAthogen PROgnosis System

Description

This functions applies one machine learning model on a given rasterstack

Usage

machine_predictor(
  rstack,
  mmodel,
  additionalRaster = FALSE,
  type = FALSE,
  index = FALSE
)

Arguments

rstack	list containing an raster stack with covariables for prediction based on the mmodel
mmodel	machine learning model
additionalRaster	rasters that are identical in each time step and should be added to each rasterstack
type	character string containing type of prediction (e.g. "prob" for probability); default to FALSE
index	in case of type = "prob" the index of the parameter of which the probability shold be returned

Value

stack with one prediction for each element of the input list

Author(s)

Wolfgang Hamer

whamer/papros documentation built on Feb. 6, 2021, 8:54 a.m.