plot.predgc {gcKrig}

Plot Geostatistical Data at Sampling and Prediction Locations

Description

Five plots can be generated. A level plot with the number of counts at both observed and prediction locations; a level plot with predicted means (intensity); a level plot with the predicted counts; a level plot with estimated variances of the prediction; a 3-D scatter plot with both observed and predicted counts.

Usage

## S3 method for class 'predgc'
plot(x, plottype = "2D", xlab = "xloc", ylab = "yloc", xlim = NULL,
     ylim = NULL, pch = 20, textcex = 0.6, plotcex = 1, angle = 60,
     col = c(2, 4), col.regions = gray(90:0/100),...)
          

Arguments

x

an object of class predgc inherited from function predgc.

plottype

can be one of the following: "2D", "Predicted Counts", "Predicted Mean", "Predicted Variance" or "3D". Default is "2D" which generates a 2-D contour plot with both observed and predicted counts. With arguments "Predicted Counts", "Predicted Mean" and "Predicted Variance", a 2-D level plot will be generated with the corresponding data. When "3D" is used, a 3-D scatter plot will be displayed with observed and predicted counts.

xlab, ylab

a title for the x and y axis.

xlim, ylim

numeric vectors of length 2, giving the x and y coordinates ranges. if they equal to NULL then they will be adjusted from the data.

pch

plotting character, i.e., symbol to use in the 3-D scatter plot.

textcex

a numerical value giving the amount by which plotting text should be magnified relative to the default.

plotcex

a numerical value giving the amount by which plotting symbols should be magnified relative to the default.

angle

angle between x and y axis.

col

a numeric vector of length 2 indicating color of the plot at sampling and prediction locations.

col.regions

color vector to be used reflecting magnitude of the dataset at different locations. The general idea is that this should be a color vector of gradually varying color.

...

further arguments passed to plot and panel settings.

Author(s)

Zifei Han [e-mail]

See Also

plot.simgc, plot.mlegc, mlegc, predgc