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Grid-Generate_plots.R
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Grid-Generate_plots.R
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## +++++++++++++++++++++++++++++++++++++++++++++++
## Generates plot locations (X, Y) ------
## p = plot point dataframe
# https://stackoverflow.com/questions/5173692/how-to-return-number-of-decimal-places-in-r
decimalplaces <- function(x) {
ifelse(abs(x - round(x)) > .Machine$double.eps^0.5,
nchar(sub('^\\d+\\.', '', sub('0+$', '', as.character(x)))),
0)
}
########################################################
generate_plots <- function(clusters,
Plot_type,
plot_list,
map_projection) {
DT_Clusters <- st_drop_geometry(clusters)
deci_x <- max(decimalplaces(DT_Clusters$X_map))
deci_y <- max(decimalplaces(DT_Clusters$Y_map))
nclus <- nrow(DT_Clusters)
nplots <- nrow(plot_list)
if (Plot_type=='NFMA') {
nplots <- 4
rm(plot_list)
plot_list <- data.frame( No=c(1:4), X=c(250,250,750,750), Y=c(250,750,750,250) )
}
# for 4326, compute bearing (degrees) and distance (m)
if (map_projection == 4326) {
for (i in (1:nplots)) {
plot_list$azimuth[i] <- nngeo::st_azimuth(st_point(c(0, 0)), st_point(c(plot_list$X[i], plot_list$Y[i])))
}
plot_list$distance <- sqrt((plot_list$X^2 + plot_list$Y^2))
print(str(plot_list))
}
print("PLOT 1")
p <- as.data.frame(matrix(0, ncol = 5, nrow = nclus * nplots))
colnames(p)[1] <- "Cluster_ID";
colnames(p)[2] <- "Plot_ID";
colnames(p)[3] <- "zone";
colnames(p)[4] <- "X_map";
colnames(p)[5] <- "Y_map"
p$Cluster_ID <- rep(DT_Clusters$Cluster_ID, each = nplots)
p$X <- rep(DT_Clusters$X, each = nplots)
p$Y <- rep(DT_Clusters$Y, each = nplots)
p$Plot_ID <- rep(plot_list$No, times = nclus)
p$X_map <- rep(plot_list$X, times = nclus)
p$Y_map <- rep(plot_list$Y, times = nclus)
p$zone <- rep(DT_Clusters$zone, each = nplots)
print("PLOT 1+")
if ( map_projection==4326 ) {
iii = 1
for (ic in 1:nclus) {
for (ip in 1:nplots) {
if (plot_list$distance[ip] > 0) {
target_coord <- geosphere::destPoint(c(p$X[iii], p$Y[iii]), plot_list$azimuth[ip], plot_list$distance[ip] )
print(str(target_coord))
p$X_map[iii] <- target_coord[1]
p$Y_map[iii] <- target_coord[2]
} else {
p$X_map[iii] <- p$X[iii]
p$Y_map[iii] <- p$Y[iii]
}
iii = iii + 1
}
}
} else {
clusters_X <- rep(DT_Clusters$X_map, each = nplots)
clusters_Y <- rep(DT_Clusters$Y_map, each = nplots)
p$X_map <- p$X_map + clusters_X
p$Y_map <- p$Y_map + clusters_Y
}
p$X <- NULL
p$Y <- NULL
rm(clusters_X); rm(clusters_Y)
print("PLOT 1++")
# Get longlat coordinates for plot points --------
plotdata <- split(p, p$zone)
print("PLOT 2")
for (i in 1:length(plotdata)) {
df <- data.frame(plotdata[[i]])
if (map_projection == 4326) {
zone_str <- as.character(names(plotdata)[i])
zone <- as.integer(substr(zone_str, 0, nchar(zone_str)-1))
hemispere <- substr(zone_str, nchar(zone_str), nchar(zone_str))
projcrs <- ifelse(hemispere=='S', 32700+zone, 32600+zone)
data <- st_as_sf(x = df,
coords = c("X_map", "Y_map"),
crs = paste0("EPSG:", projcrs),
remove = TRUE)
rm(hemispere); rm(zone_str)
} else {
data <- st_as_sf( x = df,
coords = c("X_map", "Y_map"),
crs = paste0("EPSG:", map_projection),
remove = TRUE)
}
rm(df)
if (map_projection != 4326 ) {
res <- st_transform( data, 4326 )
} else {
res <- data
}
coord_list <- st_coordinates(res)
res <- st_drop_geometry(res)
res$X <- coord_list[,1]
res$Y <- coord_list[,2]
rm(coord_list)
res$zone <- NULL
if (i == 1) {
resAll <- res
} else {
resAll <- rbind(resAll, res)
}
}
print("PLOT 3")
p <- merge(x = p, y = resAll, by = c("Cluster_ID", "Plot_ID"), all.x = TRUE)
p$Cluster_ID <- as.integer(p$Cluster_ID)
p$Plot_ID <- as.integer(p$Plot_ID)
# order by Cluster_ID, Plot_ID
p <- p[with(p, order(Cluster_ID, Plot_ID)),]
if (map_projection==4326 & nplots==1 & mean(plot_list$X)==0 & mean(plot_list$Y)==0) {
p$X_map = round(p$X_map, deci_x)
p$X = round(p$X , deci_x)
p$Y_map = round(p$Y_map, deci_y)
p$Y = round(p$Y , deci_y)
}
p <- st_as_sf( x = p,
coords = c("X", "Y"),
crs = "EPSG:4326",
remove = FALSE)
rm(res); rm(resAll); rm(zone); rm(i); rm(data)
print("PLOT 4")
return(p)
}