# A Short Example with R-Package osmar..

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Following up my last post in which I praised the capabilities of the osmar-package I give a short example…**theBioBucket***, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

ps: You can also find this example at GitHub HERE.

library(osmar) # this pulls the data from the OSM-Api: mydistrict <- get_osm(relation(85647), full = TRUE) # make a spatial object: mydistrict_sp <- as_sp(mydistrict, what = 'lines') summary(mydistrict_sp) # just for fun i'll plot some bubbles on my map: mydata <- data.frame(x = runif(100, 12.300, 12.550), y = runif(100, 47.300, 47.550), data = sample(1:30, 100, replace = T)) mydata_sp <- SpatialPointsDataFrame(mydata[, c('x', 'y')], data=mydata, proj4string=CRS('+proj=longlat +datum=WGS84')) # see what's in there: summary(mydata_sp) # plot: setwd(tempdir()) pdf("testOSM.pdf") par(oma = rep(0, 4)) mycex = (mydata_sp@data[,'data']/max(mydata_sp@data[,'data'])*2)^2 plot(mydistrict_sp, axes = T) colpts = rgb(0.2, 0.5, 0.4, alpha = 0.6) points(x = mydata_sp@coords[,'x'], y = mydata_sp@coords[,'y'], cex = mycex, col = 0, pch = 21, bg = colpts) title('MyData in MyDistrict') # legend: l1 = min(mydata_sp@data[,'data']) l2 = round(mean(mydata_sp@data[,'data']), 0) l3 = max(mydata_sp@data[,'data']) l = c(l1, l2, l3) lcex = (c(l/l3*2))^2 points(x = rep(12, 3), y = seq(47.7, 47.6, -.05), cex = lcex, col = 0, pch = 21, bg = colpts) text(l, x = rep(12, 3) +.045, y = seq(47.7, 47.6, -.05)) graphics.off() # open map: shell.exec("testOSM.pdf")

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