plotmlegc: Plot Geostatistical Data and Fitted Mean

plot.mlegcR 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 mlegc inherited from function mlegc.

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 NULL then they will be adjusted from the data.

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

See Also

plot.simgc, plot.predgc


gcKrig documentation built on July 3, 2022, 1:05 a.m.

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