| plot.mlegc {gcKrig} | R Documentation |
Plot Geostatistical Data and Fitted Mean
Description
Four plots can be generated: the 2-D level plot or 3-D scatterplot with the number of counts or fitted values.
Usage
## S3 method for class 'mlegc'
plot(x, plotdata = "Observed", plottype = "2D", xlab = "xloc", ylab = "yloc",
xlim = NULL, ylim = NULL, pch = 20, textcex = 0.8, plotcex = 1,
angle = 60, col = 4, col.regions = gray(90:0/100),...)
Arguments
x |
an object of class |
plotdata |
the data to be plotted. Can be either "Observed" if the original counts are used or "Fitted" if the fitted mean at different locations are used. |
plottype |
the type of the plot. Can be either "2D" for 2-D level plot or "3D" for 3-D scatterplot. |
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 |
pch |
plotting character, i.e., the 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 |
color of the text. |
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 hanzifei1@gmail.com