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getSitesRelationshipsDF <- function(ssn, pid, junk, ind, ob_by_locID, bin,
name = "obs") {
## ssn = SpatialStreamNetwork object
## pid = integer pid value of interest
## junk = ox2 data.frame with columns fc (logical) and binaryID
## ind = vector indicator saying whether it is a duplicate
## ob = data.frame with pid, rid, locID, and binaryID for sites on network
## ordered by pid
## ob_by_locID = data.frame with pid, rid, locID, and binaryID for sites on network
## ordered by locID
## bin = binaryID table
## Returns a data.frame that relates all sites to pid.i:
## pid: numeric
## locID: numeric
## fc: logical - is the sute fc with the pid of interest
## binaryID: binaryID of the common downstream junction
## junc.rid: rid for the common downstream junction
## upDist.j: upDist for each site
## Create relationships table
ob.j.r <- data.frame(ob_by_locID[ind, c("pid", "locID")], junk,
stringsAsFactors = FALSE)
## ob.j.r <- data.frame(ob_by_locID[ind, c("pid", "locID")], junk,
## stringsAsFactors = FALSE)
ob.j.r$fc <- as.logical(ob.j.r$fc)
rownames(ob.j.r)<- ob.j.r$pid
## Add column showing rid for common downstream junction (ob.j.r relates all ##sites to pid)
## dataframe with pid, locID, fc, binaryID, junc.rid
ob.j.r$junc.rid <- bin$rid[match(ob.j.r$binaryID, bin$binaryID)]
## Expand this data.frame ---
## Add extra rows
ob.j.r[,"rep"] <- aggregate(rep(1, length(ob_by_locID$locID)), by = list(ob_by_locID$locID), sum)[2]
ob.j <- ob.j.r[rep(row.names(ob.j.r), ob.j.r$rep),1:ncol(ob.j.r)-1]
## fix pid values
ob.j$pid <- ob_by_locID$pid
rownames(ob.j)<- rownames(ob_by_locID)
## Reorder back to same as pid.data
## Create some funky rownames, with extension .fc - ADDED OB.J INSTEAD OF OB
rownames(ob.j) <- paste(rownames(ob.j), ".fc", sep = "")
## Don't know why we're doing this...
##ob.j$pid <- ob_by_locID$pid[ind]
## juncDist is the upstream distance of the common downstream rid junction
ob.j$juncDist <- ssn$edges$DistanceUpstream[match(
ob.j$junc.rid,
ssn$edges$SegmentID)]
## upDist.j is the upDist for each observed site
if(name == "obs"){
ob.j$upDist.j <- ssn$obs$DistanceUpstream[
match(ob.j$pid, ssn$obs$ng.pid)]
} else {
ob.j$upDist.j <- ssn$preds[[name]]$DistanceUpstream[
match(ob.j$pid, ssn$preds[[name]]$ng.pid)]
}
ob.j <- ob.j[order(ob.j[, "pid"]), ]
ob.j
}
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