combines the stats (from individual station evaluation) and site list in a SpatVector using row.names
Examples
sites <- data.frame(lat = c(-22.72500,-23.64300,-20.34350),
lon = c(-47.34800,-46.49200,-40.31800),
row.names = c('Americana','SAndre','VVIbes'),
stringsAsFactors = F)
model<- readRDS(paste0(system.file("extdata",package="eva3dm"),"/model.Rds"))
obs <- readRDS(paste0(system.file("extdata",package="eva3dm"),"/obs.Rds"))
# evaluation by station
stats <- eva(mo = model, ob = obs, site = "Americana")
#> Americana has 227 valid observations
stats <- eva(mo = model, ob = obs, site = "SAndre",table = stats)
#> SAndre has 207 valid observations
stats <- eva(mo = model, ob = obs, site = "VVIbes",table = stats)
#> VVIbes has only 0 valid observations (lesser than 8 obs)
# evaluation using all stations
stats <- eva(mo = model, ob = obs, site = "ALL", table = stats)
#> combining all sites...
#> Americana SAndre VVIbes ...
#> ALL has 434 valid observations
print(stats)
#> n Obs Sim r IOA FA2 RMSE
#> Americana 227 40.92952 18.18197 0.6492022 0.5934335 0.4229075 32.47269
#> SAndre 207 60.62802 15.66744 0.6246762 0.4813952 0.1449275 59.21330
#> VVIbes 0 NA NA NA NA NA NA
#> ALL 434 50.32488 16.98265 0.5573867 0.5085711 0.2903226 47.15775
#> MB ME NMB (%) NME (%)
#> Americana -22.74754 24.10165 -55.57735 58.88575
#> SAndre -44.96058 45.64932 -74.15808 75.29409
#> VVIbes NA NA NA NA
#> ALL -33.34224 34.37900 -66.25398 68.31411
geo_stats <- stats %at% sites
#> georeferencing stats at sites
print(geo_stats)
#> class : SpatVector
#> geometry : points
#> dimensions : 3, 12 (geometries, attributes)
#> extent : -47.348, -40.318, -23.643, -20.3435 (xmin, xmax, ymin, ymax)
#> coord. ref. :
#> names : site n Obs Sim r IOA FA2 RMSE MB
#> type : <chr> <num> <num> <num> <num> <num> <num> <num> <num>
#> values : Americana 227 40.93 18.18 0.6492 0.5934 0.4229 32.47 -22.75
#> SAndre 207 60.63 15.67 0.6247 0.4814 0.1449 59.21 -44.96
#> VVIbes 0 NA NA NA NA NA NA NA
#> ME NMB (%) NME (%)
#> <num> <num> <num>
#> 24.1 -55.58 58.89
#> 45.65 -74.16 75.29
#> NA NA NA