concareaExampleKola {StatDA} | R Documentation

## Concentration Area Plot for Kola data example

### Description

Displays a concentration area plot example for the Kola data. This procedure ist useful for determining if mulitple populations that are spatially dependent are present in a data set. For a more general function see concarea.

### Usage

    concareaExampleKola(x, y, z, zname = deparse(substitute(z)),
    caname = deparse(substitute(z)), borders="bordersKola", logx = FALSE, ifjit = FALSE,
    ifrev = FALSE, ngrid = 100, ncp = 0, xlim = NULL, xcoord = "Easting",
    ycoord = "Northing", ifbw = FALSE, x.logfinetick = c(2, 5, 10),
    y.logfinetick = c(2, 5, 10))

### Arguments

`x` | name of the x-axis spatial coordinate, the eastings
`y` | name of the y-axis spatial coordinate, the northings
`z` | name of the variable to be processed and plotted
`zname` | a title for the x-axes of the qp-plot and concentration area plot.
`caname` | a title for the image of interpolated data.
`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
`logx` | if it is required to make a logarithmis data transformation for the interpolation
`ifrev` | if FALSE the empirical function ist plotted from highest value to lowest
`ngrid` | default value is 100
`xlim` | the range for the x-axis
`xcoord` | a title for the x-axis, defaults to "Easting"
`ycoord` | a title for the y-axis, defaults to "Northing"
`ifbw` | if the plot is drawn in black and white
`x.logfinetick` | how fine are the tick marks on log-scale on x-axis
`y.logfinetick` | how fine are the tick marks on log-scale on y-axis
`ifjit` | default value is FALSE
`ncp` | default value is 0

### Details

The function assumes that the area is proportional to the count of grid points. To be a reasonable model the data points should be 'evenly' spread over the plane. The interpolated grid size ist computed as (max(x) - min(x))/ngrid, with a default value of 100 for ngrid. Akima's interpolation function is used to obtain a linear interpolation between the spatial data values.

### Value

An example concentration area plot for Kola is created.

### Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

### References

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

### See Also

`qpplot.das`, `concarea`, `caplot`

### Examples

    data(ohorizon)
    data(kola.background)
    data(bordersKola)

    Cu=ohorizon[,"Cu"]
    X=ohorizon[,"XCOO"]
    Y=ohorizon[,"YCOO"]

    par(mfrow=c(2,2),mar=c(1.5,1.5,1.5,1.5))
    concareaExampleKola(X,Y,Cu,log=TRUE,zname="Cu in O-horizon [mg/kg]",
       x.logfinetick=c(2,5,10),y.logfinetick=c(10))

[Package StatDA version 1.0 Index]