## ----------------------------------------------------------------------------- # Load necessary libraries library(RFplus) library(terra) library(data.table) ## ----------------------------------------------------------------------------- # Load the in-situ data and the coordinates data("BD_Insitu", package = "RFplus") data("Cords_Insitu", package = "RFplus") # Load the covariates MSWEP = terra::rast(system.file("extdata/MSWEP.nc", package = "RFplus")) CHIRPS = terra::rast(system.file("extdata/CHIRPS.nc", package = "RFplus")) DEM = terra::rast(system.file("extdata/DEM.nc", package = "RFplus")) ## ----------------------------------------------------------------------------- # Adjust individual covariates to the covariate format required by RFplus Covariates = list(MSWEP = MSWEP, CHIRPS = CHIRPS, DEM = DEM) # Apply the RFplus ----------------------------------------------------------- # 1. Define categories to categorize rainfall intensity Rain_threshold = list( no_rain = c(0, 1), light_rain = c(1, 5), moderate_rain = c(5, 20), heavy_rain = c(20, 40), violent_rain = c(40, 100) ) # 2. Apply de the model model = RFplus(BD_Insitu, Cords_Insitu, Covariates, n_round = 1, wet.day = 0.1 , ntree = 2000, seed = 123, training = 0.8, Rain_threshold = Rain_threshold, method = "RQUANT", ratio = 5, save_model = FALSE, name_save = NULL ) ## ----------------------------------------------------------------------------- # Precipitation results within the study area modelo_rainfall = model$Ensamble # Validation statistic results # goodness-of-fit metrics metrics_gof = model$Validation$gof # Categorical Metrics metrics_categoricxal = model$Validation$categorical_metrics # Note: In the above example we used 80% of the data for training and 20% for model validation. ## ----------------------------------------------------------------------------- # First layer of the QUANT method plot(modelo_rainfall[[1]]) ## ----------------------------------------------------------------------------- Rain_threshold = list( no_rain = c(0, 1), # No precipitation light_rain = c(1, 5), # Light rainfall moderate_rain = c(5, 20), # Moderate rainfall heavy_rain = c(20, 40), # Heavy rainfall violent_rain = c(40, 100) # violent rain )