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DI   plot.prob

Creating a Probability-of-Exceedence plot

We begin with help on the command line side and then present a demonstration of how to plot probabilities of exceeding a given value using the GUI display dialog.
        Plot Probabilities for off-network values.

DESCRIPTION:

	Creates image plot for spatial probabilities. 

USAGE:
	plot.prob(nw.obj=new.network, row.name=NULL, mean.obj=0, 
                  sd.obj=1, add.map=T, add.county=T, ...)


REQUIRED ARGUMENTS:

nw.obj
	A network object usually created by make.network.obj or 
	edit.network

OPTIONAL ARGUMENTS:
K
	Threshold for exceedence.

row.name
	Row name (usually a date) of the measureements matrix 
	(part of nw.obj) to be used for kriging and determining 
	probabilities for a given day.

mean.obj
	Mean.

sd.obj
	Standard Deviation.

add.map
	Overlays US map if True.

add.county
	Overlays US state county boundaries if true.  
        Also maps state boundaries regardless of the value of add.map

...
	Other parameters for plotting or for prob.cov

VALUE:
	Invisible.

SIDE EFFECTS:
	Creates a plot.

SEE ALSO:
	network.plotter, make.network.obj, edit.network

EXAMPLES:

net <- make.network.obj( locs = example.locs, 
		      cov.obj = example.cov.obj )
plot.prob( net )


Plotting Probabilities of Exceedence

Select the fourth DI toolbar button or Plot Probabilities in the DI Menu to begin.

Network Object
Here we will select our NC.net network object created in our example) from the Network Object.

Date
(or Row Name of Measurements Matrix)

For the date, we chose August 5, 1998 because it had some values in exceedence of 85 ppb for ozone content.

Exceedence
Choose the value, K, that you wish to plot probabilities of--P(Z > K).

Plots
We can also select which plots we want to see; here select "all" to see all of them. The diagnostic plot shows the results of the kriging. We can also select whether we want to have a US map with or without county boundaries.

Other Optional Arguments
There are also some choices for the Fields function, Krig: whether or not to use GCV criterion or to use a predetermined number of degrees of freedom. Click on the Advanced tab for more Krig options.

Because I selected "all" for type of plot, I can click on the different pages (you may have to re-size your plot as I have done in order to click on the different pages) to see different plots. For example, page 2 shows a larger plot of the means found from kriging (as shown below).


This is software for statistical research and should not be used for commercial purposes. The authors do not guarantee the correctness of any function or program in this package.