sp (version 0.8-3)

stack: rearrange data in SpatialPointsDataFrame or SpatialGridDataFrame for plotting with spplot (levelplot/xyplot wrapper)

Description

rearrange SpatialPointsDataFrame for plotting with spplot or levelplot

Usage

spmap.to.lev(data, zcol = 1:n, n = 2, names.attr)
stack.SpatialPointsDataFrame(x, select, ...)

Arguments

data
object of class (or extending) SpatialDataFrame
zcol
z-coordinate column name(s), or a column number (range) (after removing the spatial coordinate columns: 1 refers to the first non-coordinate column, etc. )
names.attr
names of the set of z-columns (these names will appear in the plot); if omitted, column names of zcol
n
number of columns to be stacked
x
same as data
select
same as zcol
...
ignored

Value

  • spmap.to.lev returns a data frame with the following elements:
  • xx-coordinate for each row
  • yy-coordinate for each row
  • zcolumn vector with each of the elements in columns zcol of data stacked
  • namefactor; name of each of the stacked z columns
  • stack is an S3 method: it return a data.frame with a column values that has the stacked coordinates and attributes, and a column ind that indicates the variable stacked; it also replicates the coordinates.

See Also

spplot, levelplot in package lattice, and stack

Examples

Run this code
library(lattice)
data(meuse.grid) # data frame
coordinates(meuse.grid) = c("x", "y") # promotes to SpatialDataFrame
meuse.grid[["idist"]] = 1 - meuse.grid[["dist"]] # add variable
# the following is made much easier by spplot:
levelplot(z~x+y|name, spmap.to.lev(meuse.grid, z=c("dist","idist"), names.attr =
	c("distance", "inverse of distance")), aspect = "iso")
levelplot(values~x+y|ind, as.data.frame(stack(meuse.grid)),aspect = "iso")
gridded(meuse.grid) = TRUE
levelplot(z~x+y|name, spmap.to.lev(meuse.grid, z=c("dist","idist"), names.attr =
	c("distance", "inverse of distance")), aspect = "iso")
levelplot(values~x+y|ind, as.data.frame(stack(meuse.grid)), asp = "iso")

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