View source: R/validate_fire_danger_levels.R
validate_fire_danger_levels | R Documentation |
This function compares observed and modelled fire data and return a contingency table summarising the hit rates, false alarms, misses and correct negatives. The validation can be done using various thresholds and input data.
validate_fire_danger_levels( fire_index, observation, fire_threshold, obs_threshold )
fire_index |
RasterBrick containing the fire index (only one variable) |
observation |
RasterBrick containing the observation (only one variable) |
fire_threshold |
threshold to use to select relevant fire indices |
obs_threshold |
threshold to use to select relevant observations |
A list of two binary vectors: obs (observations) and pred (predictions).
## Not run: # Read example data r_risico <- readRDS(system.file("extdata", "RISICO_raster.rds", package = "caliver")) # Set missing crs raster::crs(r_risico) <- "+proj=longlat +datum=WGS84 +no_defs" # Generate obs and pred binary vectors validate_fire_danger_levels(fire_index = r_risico, observation = r_risico * 2, fire_threshold = 0.5, obs_threshold = 0.5) ## End(Not run)
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