plot.slmfit: Plot an Empirical Semi-Variogram of Residuals

In sptotal: Predicting Totals and Weighted Sums from Spatial Data

Plot an Empirical Semi-Variogram of Residuals

Description

Plots an empirical semi-variogram of the residuals from the spatial linear model with the fitted parametric model as a curve overtop of the binned points. By default, the empirical semi-variogram only shows distances that are less than or equal to the maximum distance in the data set divided by 2. Therefore, it's possible that the REML-fitted model will not "fit" the points perfectly.

Usage

## S3 method for class 'slmfit'
plot(x, ...)

Arguments

x	is an object of class slmfit.
...	further arguments passed to or from other methods.

Value

a plot of the empirical semi-variogram with the fitted model overlayed.

Examples

data(exampledataset) ## load a toy data set
slmobj <- slmfit(formula = counts ~ pred1 + pred2, data = exampledataset,
xcoordcol = 'xcoords', ycoordcol = 'ycoords', areacol = 'areavar')
plot(slmobj)

data(exampledataset) ## load a toy data set
exampledataset$strata <- c(rep("A", 19), rep("B", 21))
strataobj <- slmfit(formula = counts ~ pred1 + pred2, data = exampledataset, stratacol = "strata",
xcoordcol = 'xcoords', ycoordcol = 'ycoords', areacol = 'areavar')
plot(strataobj[[1]])

sptotal documentation built on Dec. 12, 2022, 1:06 a.m.