Nothing
###########################################################
# postprocessing #
###########################################################
SDLonLat = function(simulations, SD){
# turn SD into list
if (!is.list(SD)){
if (is.matrix(SD)){
SDs = list()
for (i in 1:nrow(SD)){
SDs[[i]] = SD[i,]
}
SD = SDs
} else {# single SD
SD = list(SD)
}
}
coordOptLonLat = list()
for (i in seq(along = SD)){
coordOpt = as.data.frame(coordinates(simulations@locations)[SD[[i]],])
coordinates(coordOpt) = 1:2
proj4string(coordOpt) = CRS(proj4string(simulations@locations))
coordOptLonLat[[i]] = spTransform(coordOpt, CRS("+init=epsg:4326"))
}
return(coordOptLonLat)
}
# - -- - - - - - - - compare SDs - - - - - - - - - - --
# spatial similarity
similaritySD = function(simulations, SD, referenceSD, type = "equal", k = 9, ...){
# turn SD into list
if (!is.list(SD)){
if (is.matrix(SD)){
SDs = list()
for (i in 1:nrow(SD)){
SDs[[i]] = SD[i,]
}
SD = SDs
} else {# single SD
SD = list(SD)
}
}
if (type == "EarthMoversDistance"){
# generate matrix that represents SD
if (! is.element(class(simulations@locations),
c("SpatialPixelsDataFrame",
"SpatialPolygridDataFrame"))){
stop("'EarthMoversDistance' can only be used with 'simulations' that have 'locations' that are 'Pixels' or 'Polygrid'.")
} else {
switch(class(simulations@locations),
"SpatialPixelsDataFrame" = {
simulations@locations@data$index = 1:nLocations(simulations)
simGrid = as(simulations@locations, "SpatialGridDataFrame")
simMatrix = matrix(simGrid@data$index, byrow = TRUE,
nrow = simulations@locations@grid@cells.dim[2],
ncol = simulations@locations@grid@cells.dim[1])
referenceMatrix = simMatrix
referenceMatrix[!is.element(referenceMatrix, referenceSD) & !is.na(referenceMatrix)] = 0
referenceMatrix[is.element(referenceMatrix, referenceSD)] = 1
},
"SpatialPolygridDataFrame" = {
simMatrix = matrix(simulations@locations@index, byrow = TRUE,
nrow = simulations@locations@grid@cells.dim[2],
ncol = simulations@locations@grid@cells.dim[1])
referenceMatrix = simMatrix
referenceArea = as.data.frame(table(simMatrix[is.element(simMatrix, referenceSD)]))
referenceMatrix[!is.element(referenceMatrix, referenceSD) & !is.na(referenceMatrix)] = 0
for (i in 1:nrow(referenceArea)){
referenceMatrix[referenceMatrix == referenceArea[i,1]] =
1/referenceArea$Freq[i]
}
}
)
}
}
if (type == "Kneighbours"){
# find neighbourhood
Kneighbourhood = get.knnx(data = coordinates(simulations@locations),
query = coordinates(simulations@locations)[referenceSD,],
k = k)$nn.index
}
# compute similarity
similarity = numeric(length(SD))
for (i in seq(along = SD)){
switch(type,
"equal" = {
similarity[i] = length(intersect(SD[[i]], referenceSD))
},
"Kneighbours" = {
similarity[i] = length(intersect(SD[[i]], Kneighbourhood))
},
"EarthMoversDistance" = {
SDMatrix = simMatrix
switch(class(simulations@locations),
"SpatialPixelsDataFrame" = {
SDMatrix = simMatrix
SDMatrix[!is.element(SDMatrix, SD[[i]]) & !is.na(SDMatrix)] = 0
SDMatrix[is.element(SDMatrix, SD[[i]])] = 1
},
"SpatialPolygridDataFrame" = {
SDMatrix = simMatrix
SDArea = as.data.frame(table(simMatrix[is.element(simMatrix, SD[[i]])]))
SDMatrix[!is.element(SDMatrix, SD[[i]]) & !is.na(SDMatrix)] = 0
for (j in 1:nrow(SDArea)){
SDMatrix[SDMatrix == SDArea[j,1]] =
1/SDArea$Freq[j]
}
}
)
similarity[i] = emd2d(referenceMatrix, SDMatrix,
xdist = simulations@locations@grid@cellsize[1],
ydist = simulations@locations@grid@cellsize[2], ...)
}
)
}
return(similarity)
}
# goodness on plumes for calibration and test
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