mapPreds_UI <- function(id) {
ns <- NS(id)
tagList(
threshPred_UI(ns('threshPred'))
)
}
mapPreds_MOD <- function(input, output, session, rvs) {
reactive({
if (is.null(rvs$mods)) {
rvs %>% writeLog(type = 'error', "Models must first be run in component 6.")
return()
}
# record for RMD
rvs$comp7 <- c(rvs$comp7, 'map')
# pick the prediction that matches the model selected
predSel <- rvs$modPreds[[rvs$modSel]]
if (is.na(raster::crs(predSel))) {
rvs %>% writeLog(type = "error", "Model prediction raster has undefined
coordinate reference system (CRS), and thus cannot be
mapped. This is likely due to undefined CRS's for input
rasters. Please see guidance text for module 'User-specified
Environmental Data' in component 'Obtain Environmental Data'
for more details.")
return()
}
# generate binary prediction based on selected thresholding rule
predSel.thr.call <- callModule(threshPred_MOD, "threshPred", predSel)
predSel.thr <- predSel.thr.call()
pjPred <- predSel.thr$pred
rvs$comp7.thr <- predSel.thr$thresh
# write to log box
rvs %>% writeLog("BIOCLIM model prediction plotted.")
return(pjPred)
})
}
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