Nothing
# $Id: fit.variogram.q,v 1.10 2008-12-15 14:27:29 edzer Exp $
"fit.variogram" <-
function (object, model, fit.sills = TRUE, fit.ranges = TRUE,
fit.method = 7, debug.level = 1, warn.if.neg = FALSE, fit.kappa = FALSE)
{
cl = match.call()
if (missing(object))
stop("nothing to fit to")
if (!inherits(object, "gstatVariogram") && !inherits(object, "variogramCloud"))
stop("object should be of class gstatVariogram or variogramCloud")
if (inherits(object, "variogramCloud"))
object$np = rep(1, nrow(object))
if (length(unique(object$id)) > 1)
stop("to use fit.variogram, variogram object should be univariable")
if (missing(model))
stop("no model to fit")
if (is(model, "variogramModelList")) {
ret = lapply(model, function(x) fit.variogram(object, x, fit.sills = fit.sills,
fit.ranges = fit.ranges, fit.method = fit.method, debug.level = debug.level,
warn.if.neg = warn.if.neg, fit.kappa = fit.kappa))
sse = sapply(ret, function(x) attr(x, "SSErr"))
return(ret[[which.min(sse)]])
}
if (!inherits(model, "variogramModel"))
stop("model should be of class variogramModel (use vgm)")
if (fit.method == 5)
stop("use function fit.variogram.reml() to use REML")
if (length(fit.sills) < length(model$model))
fit.sills = rep(fit.sills, length(model$model))
if (length(fit.ranges) < length(model$model))
fit.ranges = rep(fit.ranges, length(model$model))
if (fit.method == 7 && any(object$dist == 0))
stop("fit.method 7 will not work with zero distance semivariances; use another fit.method value")
if (any(is.na(model$psill)) || any(is.na(model$range)))
model = vgm_fill_na(model, object)
fit.ranges = fit.ranges & !(model$model %in% c("Nug", "Err")) # no ranges to fit for Nug/Err
if (isTRUE(fit.kappa))
fit.kappa = seq(0.3, 5, 0.1)
if (any(model$model %in% c("Mat", "Ste")) && length(fit.kappa) > 1) {
f = function(x, o, m) {
m[m$model %in% c("Mat", "Ste"), "kappa"] = x
fit.variogram(o, m, fit.kappa = FALSE,
fit.method = fit.method, debug.level = debug.level) # fits range
}
ret = lapply(fit.kappa, f, object, model)
return(ret[[ which.min(sapply(ret, function(x) attr(x, "SSErr"))) ]])
}
initialRange = model$range
.Call(gstat_init, as.integer(debug.level))
.Call(gstat_load_ev, object$np, object$dist, object$gamma)
load.variogram.model(model)
ret = .Call(gstat_fit_variogram, as.integer(fit.method),
as.integer(fit.sills), as.integer(fit.ranges))
.Call(gstat_exit, 0)
model$psill = ret[[1]]
model$range = ret[[2]]
attr(model, "singular") = as.logical(ret[[3]]);
attr(model, "SSErr") = ret[[4]]
direct = attr(object, "direct")
if (!is.null(direct)) {
id = unique(object$id)
if (any(direct[direct$id == id, "is.direct"]) && any(model$psill < 0)) {
if (warn.if.neg)
warning("partial sill or nugget fixed at zero value")
fit.sills = model$psill > 0
model$psill[model$psill < 0] = 0.0
model$range = initialRange
return(fit.variogram(object, model, fit.sills = fit.sills, fit.ranges =
fit.ranges, fit.method = fit.method, debug.level = debug.level,
warn.if.neg = warn.if.neg, fit.kappa = fit.kappa))
}
}
if (attr(model, "singular") && debug.level) {
rat = mean(object$gamma) / mean(object$dist)
if (rat > 1e6 || rat < 1e-6)
print("a possible solution MIGHT be to scale semivariances and/or distances")
}
attr(model, "call") = cl
model
}
vgm_fill_na = function(model, obj) {
if (any(is.na(model$range))) {
model[model$model %in% c("Nug", "Err"), "range"] = 0
model[!model$model %in% c("Nug", "Err"), "range"] = max(obj$dist) / 3
}
if (any(model$model %in% "Nug") && is.na(model[model$model == "Nug","psill"]))
model[model$model == "Nug", "psill"] = mean(head(obj$gamma, 3))
na_sills = is.na(model[model$model != "Nug", "psill"])
if (any(na_sills)) {
n = length(model[model$model != "Nug",]$psill)
model[model$model != "Nug", "psill"] = mean(tail(obj$gamma, 5)) / n
}
model
}
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