Nothing
`optimizeNetwork` <-
function (observations, predGrid, candidates, method, action,
nDiff, model, criterion = "MUKV", plotOptim = TRUE, nGridCells,
nTry, nr_iterations = 10000, formulaString, fun, ...)
{
if (length(method) == 0)
stop("'method' is missing")
if (length(method) > 0) {
if (method != "spcov" & method != "ssa" & method != "manual")
stop(paste("The method ", method, " is not implemented"))
if (method == "ssa" & length(criterion) > 0) {
if (criterion != "MUKV")
stop("Criterion ", criterion, " is not implemented.")
if (criterion == "MUKV" & length(predGrid) == 0)
stop("Missing prediction locations to compute MUKV.")
}
}
if (length(action) == 0)
stop("No 'action' defined ... choose 'add' or 'del'.")
if (length(action) > 0) {
if (action != "add" & action != "del")
stop("No relevant 'action' defined ... choose 'add' or 'del'.")
if (action == "add") {
if (length(candidates) == 0 | !inherits(candidates, "SpatialPolygons"))
stop("Candidate locations for additionnal measurements should be SpatialPolygons.")
}
}
if (length(nDiff) == 0 | nDiff <= 0)
stop(paste("nDiff is not well defined", nDiff))
if (method == "ssa") {
if (missing(formulaString) || is.null(formulaString)) {
observations = SpatialPointsDataFrame(observations,
data = data.frame(dum = rep(1, dim(coordinates(observations))[1])))
formulaString = dum ~ 1
}
return(ssaOptim(observations, predGrid, candidates, action,
nDiff, model, nr_iterations, plotOptim, formulaString, fun = fun,
...))
}
if (method == "spcov") {
if (action == "add") {
return(spCovAdd(observations, candidates, nDiff,
nGridCells, plotOptim, nTry))
}
if (action == "del") {
return(spCovDel(observations, candidates, nDiff,
plotOptim))
}
}
if (method == "manual") {
if (action == "add") {
return(addManual(candidates, observations, nDiff))
}
if (action == "del") {
return(delManual(candidates, observations, nDiff))
}
}
}
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