Make spatial predictions with a WOFOST model. First create a model, then use the model with a SpatDataSet of weather and a SpatRaster of soil properties to make spatial predictions.
# S4 method for Rcpp_WofostModel
predict(object, weather, mstart, soils=NULL,
soiltypes=NULL, filename="", overwrite=FALSE, ...)SpatRaster with a layer for each element in mstart
WOFOST model
SpatRasterDataset with weather data. The must be six sub-datasets with daily weather data for the same days and these names: tmin, tmax, prec, srad, wind and vapr
Date. The dates to start the model
SpatRaster with one or two layers. Only required when computing water-limited yield. There must be a layer called index, that has positive integers with the ID for the soil type to use for a grid cell (index in the soiltypes list. If there is another layer called "depth", this layer is used to set the soil depth for each grid cell
list of wofost soil types
character. Output filename. Optional
logical. If TRUE, filename is overwritten
list. Options for writing files as in writeRaster