I use library(RgoogleMaps) to plot measurement-positions on a map (points). There is different equipment on different points, and I successfully get separately colored points per equipment:
theplot <- PlotOnStaticMap(lat=sitecoord$lat, lon=sitecoord$lon,
cex=.7, pch=20,
col=sitecoord$equipmentType,
MyMap=Map, NEWMAP=FALSE)
How can I add a legend to the resulting map-plot to see which equipment is represented by blue points, which by red, and so on?
Update:
Using the very good recommendations of @Rguy. I managed to get the legend in. For the benefit of others, here is my test-code (no, I'm not measuring in Iceland, just used it as example):
library(RgoogleMaps)
library(RColorBrewer)
Equipment <- c("AA","AA","BB","CC")
lat <- c(63.90,66.20,64.80,64.50)
lon <- c(-22.40,-14.20,-18.60,-15.00)
tblDataPoints <- data.frame(Equipment,lat,lon)
My.Pal <- brewer.pal(3, "Reds")
tblDataPoints$colorz <- My.Pal[tblDataPoints$Equipment]
plot.new()
bb <- qbbox(lat=range(tblDataPoints$lat), lon=range(tblDataPoints$lon))
m <- c(mean(tblDataPoints$lat), mean(tblDataPoints$lon))
zoom <- min(MaxZoom(latrange=bb$latR,lonrange=bb$lonR))
Map <- GetMap.bbox(bb$lonR, bb$latR, zoom=zoom, maptype="roadmap", NEWMAP=TRUE)
tmp <- PlotOnStaticMap(lat=lat, lon=lon, cex=.7, pch=20, col=tblDataPoints$colorz, MyMap=Map, NEWMAP=FALSE)
tblLgd <- unique(tblDataPoints[,c("Equipment","colorz")])
row.names(tblLgd) <- NULL
legend("topright", legend = tblLgd$Equipment, fill = tblLgd$colorz, bg = "white")
I've done this before. If you had made a reproducible example of the problem you're having with the
legend
function, we could discuss it. Until then, here is a vague explanation.1. Create a palate using RColorBrewer. For example:
2. Assign each of your points a color, in some way. In my case, I had a
WT
column and a vector of bins, and so I generated the colors per point by binning the weights, and taking the cooresponding entry inmy.pal
to be that point's color. Note that in this example, there are fewer than 9 bins in mybinz
vector, since my palate has only 9 shades of red.3. Plot on the map, passing the colors argument.
4. Finally, create the legend, and add it to the map.
Hope you get it all figured out!