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npsp (version 0.3-6)

svar.bin: Linear binning of semivariances

Description

Creates a svar.bin (binned semivar. + grid parameters) object with linearly binned semivariances.

Usage

svar.bin(x, ...)


  "svar.bin" (x, y, maxlag = NULL, nlags = NULL, minlag = maxlag/nlags, estimator = c("classical", "modulus"), ...)


  svariso(x, y, maxlag = NULL, nlags = NULL, minlag = maxlag/nlags, estimator = c("classical", "modulus"), ...)

Arguments

x
object used to select a method. Usually a matrix with the coordinates of the data locations (columns correspond with dimensions and rows with data).
...
further arguments passed to or from other methods.
estimator
character, estimator name (e.g. "classical"). See "Details" below.
y
vector of data (response variable).
maxlag
maximum lag. Defaults to 55% of largest lag.
nlags
number of lags. Defaults to 101.
minlag
minimun lag.

Value

Returns an S3 object of class svar.bin (extends bin.data), a data.grid object with the following 4 components:
biny
array (dimension nlags) with the binned semivariances.
binw
array (dimension nlags) with the bin counts (weights).
grid
a grid.par-class object with the grid parameters.
data
a list with 3 components:
  • x argument x.
  • y argument y.
  • med (weighted) mean of the (binned) semivariances.
svar
a list of 2 components:
  • type character, type of estimation (e.g. "isotropic").
  • estimator character, estimator name (e.g. "classical").

Details

Currently, only isotropic semivariogram estimation is supported.

If parameter nlags is not specified is set to 101.

See Also

np.svariso, np.svar, data.grid, binning, locpol.