StatDA (version 1.7.11)

SmoothLegend: 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)

Value

No return value, creates a plot.

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

Author

Peter Filzmoser <> http://cstat.tuwien.ac.at/filz/

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

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)