Recocrop (version 0.4-2)

predict: Spatial EcoCrop model predictions

Description

Make spatial predictions with an EcoCrop model. First create a model, then provide that to the predict methods, together with SpatRaster objects as predictors.

Usage

# S4 method for Rcpp_EcocropModel
predict(object, ..., filename="", overwrite=FALSE, wopt=list())

Value

SpatRaster

Arguments

object

EcocropModel

...

SpatRaster objects with environmental data

filename

character. Output filename. Optional

overwrite

logical. If TRUE, filename is overwritten

wopt

list. Options for writing files as in writeRaster

Examples

## Predictors 
library(terra)
fta <- system.file("ex/ta.tif", package="Recocrop")
fpr <- system.file("ex/pr.tif", package="Recocrop")
fph <- system.file("ex/ph.tif", package="Recocrop")

# monthly average temperature
ta <- rast(fta)
# monthly precipitation
pr <- rast(fpr)
# pH
ph <- rast(fph)

# just for plotting
preds <- c(mean(ta), sum(pr), ph)
names(preds) <- c("tavg", "prec", "ph")
plot(preds)


## make ecocrop model
crop <- ecocropPars("maize")
m <- ecocrop(crop)
control(m, get_max=TRUE)

# run the model, make sure to match 
# the predictor and parameter names 
mz <- predict(m, tavg=ta, prec=pr, ph=ph, wopt=list(names="maize"))
plot(mz)

# output by 15 day period
control(m, get_max=FALSE)
mz12 <- predict(m, tavg=ta, prec=pr, ph=ph)
plot(mz12[[14:15]])

control(m, lim_fact=TRUE)
mzlim <- predict(m, tavg=ta, prec=pr+50, ph=ph)
plot(mzlim[[14]])

control(m, get_max=TRUE)
# make the soil more acidic
ph2 <- ph - 1.25 
control(m, get_max=TRUE)
mzph <- predict(m, tavg=ta, prec=pr, ph=ph2)
plot(mzph)

# more rainfall
control(m, get_max=TRUE)
pr2 <- pr + 30 # for each month
mzpr <- predict(m, tavg=ta, prec=pr2, ph=ph)
plot(mzpr)

s <- c(mz, mzph, mzpr)
names(s) <- c("base", "ph", "prec")
plot(s)

## another crop
crop <- ecocropPars("pearl millet")
m <- ecocrop(crop)
control(m, get_max=TRUE)
pm <- predict(m, prec=pr, tavg=ta, wopt=list(names="Pearl millet"))

crops <- c(mz, pm)
plot(crops)