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#' @import tlocoh
lhs.exp.isodata <- function(fn, plot.iso=FALSE) {
## Given a series of *.RData file names containing LoCoH-hullset objects, this
## will extract the isopleth attributes and return a dataframe
## This function is used in combination with lxy.lhs.batch2disk for large datasets that
## can't fit into memory
#if (!plotme %in% c("none","isoarea","isoear")) stop("Unknown value for plotme")
isoc.info <- NULL
for (lhs.fn in fn) {
cat(" - loading ", lhs.fn, "...", sep=""); flush.console()
obj <- load(lhs.fn)
cat("Done.\n"); flush.console()
lhs <- get(obj)
for (hs.idx in 1:length(lhs)) {
kar <- lhs[[hs.idx]][["mode"]]
id <- lhs[[hs.idx]][["id"]]
for (iso.idx in 1:length(lhs[[hs.idx]][["isos"]])) {
iso.info <- data.frame(id=id, mode=kar, kar=lhs[[hs.idx]][[kar]], s=lhs[[hs.idx]][["s"]], iso.method=lhs[[hs.idx]][["isos"]][[iso.idx]][["iso.method"]], sort.metric=lhs[[hs.idx]][["isos"]][[iso.idx]][["sort.metric"]], lhs[[hs.idx]][["isos"]][[iso.idx]][["polys"]]@data)
#print("Lets rbind");browser()
isoc.info <- rbind(isoc.info, iso.info)
}
}
if (plot.iso) plot(lhs, iso=T, png.dir="tmp", png.width=600, desc=0, shp.csv="gis_layers.csv", layers="t_border", axes.titles=F, axes.ticks=F, mar=c(0.5, 0.5, 2.8, 0.5))
## Change the first column name to the mode
## names(isoc.info)[1] <- kar
rm(list=obj)
}
return(invisible(isoc.info))
}
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