Minimum and maximum of each covariate, for rescaling

Fuel biomass columns all get fireSenseUtils::fuelLinearRange, c(0, 1e4): a fixed range, not the data's, so that rescaling is biomass / 1e4 in every polygon and in every predicted year.

deriveCovMinMax(annualList, nonAnnualList, fuelCols, fixedRange = list())

Arguments

annualList

list of data.tables of annual covariates, one per year.

nonAnnualList

list of data.tables of non-annual covariates, fuel biomass on the LINEAR scale.

fuelCols

names of the fuel biomass columns, from fuelColumns().

fixedRange

named list of c(min, max) that replace the data's range for those covariates.

Value

data.table with 2 rows (min, max) and one column per covariate.