spreadPredictRun.RdRescales sim$fireSense_SpreadCovariates with the fit's covariate ranges, computes the spread
probability for each parameter set (row) of the fit, and writes the mean over parameter sets to
sim$fireSense_SpreadPredicted.
spreadPredictRun(sim)The simList, invisibly.
With one fitted ELF (one row of sim$studyAreaWithSpreadParams) every pixel uses its parameters and
sim$covMinMax_spread. With several, each ELF's model (its parameter sets, its covMinMax_spread, and
only the covariates it was fitted with) predicts its own pixels, from sim$rasterToMatchLargeELF, and
those within ELFblendWidth of them; overlapping predictions are averaged with the weights of
ELFblendWeights().