concareaExampleKola function

Concentration Area Plot for Kola data example

Concentration Area Plot for Kola data example

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.

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.

Returns

An example concentration area plot for Kola is created.

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.

Author(s)

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

See Also

qpplot.das, concarea

Examples

data(ohorizon) data(kola.background) data(bordersKola) Cu=ohorizon[,"Cu"] X=ohorizon[,"XCOO"] Y=ohorizon[,"YCOO"] op <- 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)) par(op)