aa_stratified.Rd
Calculates Agreement and Area using stratified estimators
aa_stratified(stratum, reference, map, h = NULL, N_h = NULL, fpc = F)
vector of stratum identifiers
vector of reference class labels
vector of map class labels
vector of unique stratum identifiers that correspond to N_h
number of samples (area) for each stratum h
finite population correction
list of accuracy and area proportion estimates and associated standard errors
Stratified estimation of map accuracy and area
Stehman, S. V., 2014. Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes. Int. J. Remote Sens. 35, 4923-4939. https://doi.org/10.1080/01431161.2014.930207
r <- c("A","A","A","A","A","C","B","A","B","C","A","B","B","B","B","B",
"A","A","B","B","C","C","C","C","C","D","D","B","B","A","D","D",
"D","D","D","D","D","C","C","B")
m <- c("A","A","A","A","A","A","A","B","B","B","A","B","B","B","B","B",
"B","B","B","B","B","B","C","C","C","C","C","C","B","B","D","D",
"D","D","D","D","D","D","D","D")
s <- c("1","1","1","1","1","1","1","1","1","1","2","2","2","2","2","2",
"2","2","2","2","3","3","3","3","3","3","3","3","3","3","4","4",
"4","4","4","4","4","4","4","4")
h <- c("1", "2", "3", "4")
N_h <- c(40000, 30000, 20000, 10000)
aa_stratified(s, r, m, h=h, N_h=N_h)
#> $cm
#> A B C D
#> A 9.2 1.6 1.6 0.0
#> B 4.8 10.8 3.2 0.0
#> C 0.0 0.8 2.4 1.6
#> D 0.0 0.4 0.8 2.8
#>
#> $cmp
#> A B C D
#> A 0.23 0.04 0.04 0.00
#> B 0.12 0.27 0.08 0.00
#> C 0.00 0.02 0.06 0.04
#> D 0.00 0.01 0.02 0.07
#>
#> $stats
#> class ua ua_se pa pa_se f1 f1_se
#> 1 A 0.7419355 0.1645627 0.6571429 0.1477318 0.6969697 0.11034620
#> 2 B 0.5744681 0.1248023 0.7941176 0.1165671 0.6666667 0.09354009
#> 3 C 0.5000000 0.2151657 0.3000000 0.1504438 0.3750000 0.13219833
#> 4 D 0.7000000 0.1527525 0.6363636 0.1623242 0.6666667 0.11284328
#>
#> $accuracy
#> [1] 0.63000000 0.08465617
#>
#> $fpc
#> [1] 1 1 1 1
#>
#> $area
#> class proportion proportion_se
#> 1 A 0.35 0.08225975
#> 2 B 0.34 0.07586538
#> 3 C 0.20 0.06429101
#> 4 D 0.11 0.03073181
#>