**Omnia sunt Communia! » R-english**, and kindly contributed to R-bloggers)

The package `maptools`

includes new functions to label points and labels.

## Line labelling

The `lineLabel`

function produces and draws text `grobs`

following the paths defined by a list of `Line`

objects. The `sp.lineLabel`

methods use this function to work easily with `spplot`

. Let’s use the `meuse`

data to illustrate how to use it:

data(meuse.grid) coordinates(meuse.grid) = ~x+y proj4string(meuse.grid) <- CRS("+init=epsg:28992") gridded(meuse.grid) = TRUE data(meuse) coordinates(meuse) = ~x+y data(meuse.riv) ## Create a SpatialLines object with ID=1 meuse.sl <- SpatialLines(list(Lines(list(Line(meuse.riv)), "1"))) library(RColorBrewer) myCols <- adjustcolor(colorRampPalette(brewer.pal(n=9, 'Reds'))(100), .85) ## label is a wrapper to build a character vector with names ## according to the SpatialLines ID's labs <- label(meuse.sl, 'Meuse River')

With `textloc`

you can choose where the label must be located. For example, with `maxDepth`

the label will start at the point where the line reaches its maximum depth:

sl1 <- list('sp.lineLabel', meuse.sl, label=labs, position='below', textloc='maxDepth', spar=.2, col='darkblue', cex=1, fontfamily='Palatino', fontface=2) spplot(meuse.grid["dist"], col.regions=myCols, sp.layout = sl1)

The default is to place the label in a stable region where the sign of the slope remains constant.

sl2 <- modifyList(sl1, list(textloc = 'constantSlope')) spplot(meuse.grid["dist"], col.regions=myCols, sp.layout = sl2)

But you can define the label location with a numeric index relative to the line length:

sl3 <- modifyList(sl1, list(textloc = 140, position='above')) spplot(meuse.grid["dist"], col.regions=myCols, sp.layout = sl3)

There is a more sophisticated example in the Spatial Data chapter of my forthcoming book.

## Point labelling

This package already provided the `pointLabel`

function with optimization routines to find good locations for point labels without overlaps. This function, useful for base graphics, has been adapted to work with `lattice`

graphics and with the `spplot`

functions.

You will find the `panel.pointLabel`

to use with `xyplot`

and the rest of the `lattice`

family:

library(maptools) library(lattice) n <- 15 x <- rnorm(n)*10 y <- rnorm(n)*10 labels <- as.character(round(x, 5)) myTheme <- list(add.text=list( cex=0.7, col='midnightblue', fontface=2, fontfamily='mono')) xyplot(y~x, labels=labels, par.settings=myTheme, panel=function(x, y, labels, ...){ panel.xyplot(x, y, ...) panel.pointLabel(x, y, labels=labels, ...) })

And there is the `sp.pointLabel`

method to be combined with `spplot`

:

data(meuse.grid) coordinates(meuse.grid) = ~x+y proj4string(meuse.grid) <- CRS("+init=epsg:28992") gridded(meuse.grid) = TRUE library(RColorBrewer) myCols <- adjustcolor(colorRampPalette(brewer.pal(n=9, 'Reds'))(100), .85) pts <- spsample(meuse.grid, n=15, type="random") ## Let's print the name of some R authors Rauthors <- readLines(file.path(R.home("doc"), "AUTHORS"))[9:28] someAuthors <- Rauthors[seq_along(pts)] sl1 <- list('sp.points', pts, pch=19, cex=.8, col='midnightblue') sl2 <- list('sp.pointLabel', pts, label=someAuthors, cex=0.7, col='midnightblue', fontfamily='Palatino') spplot(meuse.grid["dist"], col.regions=myCols, sp.layout=list(sl1, sl2))

There is a more sophisticated example in the Spatial Data chapter of my forthcoming book.

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