getPredictiveModelInputData: Extract data to fit predictive models

In simonmoulds/lulcc2: Land Use Change Modelling in R

Description

Extract a data.frame containing variables required for fitting predictive models. Column names correspond to the names of lu and ef.

Usage

getPredictiveModelInputData(lu, ef, cells, ...)

Arguments

lu	an LulcRasterStack object
ef	an ExpVarRasterStack object
cells	index of cells to be extracted, which may be a SpatialPoints* object or a numeric vector representing cell numbers (see raster::extract)
...	additional arguments to as.data.frame

Value

A data.frame.

See Also

as.data.frame, LulcRasterStack, ExpVarRasterStack, partition

Examples

## Not run: 

## Plum Island Ecosystems

lu <- DiscreteLulcRasterStack(x=stack(pie[1:3]),
                              categories=c(1,2,3),
                              labels=c("Forest","Built","Other"),
                              t=c(0,6,14))

idx <- data.frame(var=paste("ef_", formatC(1:3, width=3, flag=0)),
                  yr=rep(0,3),
                  dynamic=rep(FALSE,3))

ef <- ExpVarRasterStack(x=stack(pie[4:6]), index=idx)

part <- partition(x=lu, size=0.1, spatial=TRUE, t=0)

train.data <- getPredictiveModelInputData(lu=lu,
                                          ef=ef,
                                          cells=part[["train"]],
                                          t=0)
dim(train.data)
names(train.data)


## End(Not run)

simonmoulds/lulcc2 documentation built on Dec. 23, 2021, 2:24 a.m.