SmoothLegend: Plots Smoothing Maps and a Legend

In StatDA: Statistical Analysis for Environmental Data

Plots Smoothing Maps and a Legend

Description

Plots smoothing maps and legend based on continuous or percentile scale.

Usage

SmoothLegend(X, Y, z, resol = 200, type = "percentile", whichcol = "gray",
qutiles = c(0, 0.05, 0.25, 0.5, 0.75, 0.9, 0.95, 1), borders=NULL, leg.xpos.min = 780000,
leg.xpos.max = 8e+05, leg.ypos.min = 7760000, leg.ypos.max = 7870000,
leg.title = "mg/kg", leg.title.cex = 0.7, leg.numb.cex = 0.7, leg.round = 2,
leg.wid = 4, leg.numb.xshift = 70000, leg.perc.xshift = 40000,
leg.perc.yshift = 20000, tit.xshift = 35000)

Arguments

X	X-coordinates
Y	Y-coordinates
z	values on the coordinates
resol	resolution of smoothing
type	"percentile" for percentile legend; "contin" for continuous grey-scale or colour map
whichcol	type of color scheme to use: "grey", "rainbow", "rainbow.trunc", "rainbow.inv", "terrain" or "topo"
qutiles	considered quantiles if type="percentile" is used
borders	either NULL or character string with the name of the list with list elements x and y for x- and y-coordinates of map borders
leg.xpos.min	minimum value of x-position of the legend
leg.xpos.max	maximum value of x-position of the legend
leg.ypos.min	minimum value of y-position of the legend
leg.ypos.max	maximum value of y-position of the legend
leg.title	title for legend
leg.title.cex	cex for legend title
leg.numb.cex	cex for legend numbers
leg.round	round legend to specified digits "pretty"
leg.wid	width (space in numbers) for legend
leg.numb.xshift	x-shift of numbers in legend relative to leg.xpos.max
leg.perc.xshift	x-shift of "Percentile" in legend relative to leg.xpos.min
leg.perc.yshift	y-shift of "Percentile" in legend relative to leg.ypos.max
tit.xshift	x-shift of title in legend relative to leg.xpos.max

Details

First a interpolation is applied using different versions of algorithms from Akima and then all points a distinguished into inside an outside the polygonal region. Now the empirical quantiles for points inside the polygon are computed and then the values are plotted in different scales of the choosen colour. ATTENTION: here borders were defined for the smoothing region

Value

No return value, creates a plot.

Author(s)

Peter Filzmoser <[e-mail]> http://cstat.tuwien.ac.at/filz/

References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons, Chichester, 2008.

Examples

data(chorizon)
X=chorizon[,"XCOO"]
Y=chorizon[,"YCOO"]
el=log10(chorizon[,"As"])

# generate plot 
plot(X,Y,frame.plot=FALSE,xaxt="n",yaxt="n",xlab="",ylab="",type="n")

data(bordersKola) # list with list elements x and y for x- and y-corrdinates of map borders
SmoothLegend(X,Y,el,resol=200,type="contin",whichcol="gray",
    qutiles=c(0,0.05,0.25,0.50,0.75,0.90,0.95,1), borders="bordersKola",
    leg.xpos.min=7.8e5,leg.xpos.max=8.0e5,leg.ypos.min=77.6e5,leg.ypos.max=78.7e5,
    leg.title="mg/kg", leg.title.cex=0.7, leg.numb.cex=0.7, leg.round=2,leg.wid=4,
    leg.numb.xshift=0.7e5,leg.perc.xshift=0.4e5,leg.perc.yshift=0.2e5,tit.xshift=0.35e5)

# plot background
data(kola.background)
plotbg(map.col=c("gray","gray","gray","gray"),map.lwd=c(1,1,1,1),add.plot=TRUE)

StatDA documentation built on June 7, 2023, 6:26 p.m.