A Short Example with R-Package osmar..

January 26, 2012

(This article was first published on theBioBucket*, and kindly contributed to R-bloggers)

Following up my last post in which I praised the capabilities of the osmar-package I give a short example…

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


# 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')

# 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:

# plot:
par(oma = rep(0, 4))
mycex = ([email protected][,'data']/max([email protected][,'data'])*2)^2
plot(mydistrict_sp, axes = T)
colpts = rgb(0.2, 0.5, 0.4, alpha = 0.6)
points(x = [email protected][,'x'],
y = [email protected][,'y'],
cex = mycex, col = 0,
pch = 21, bg = colpts)
title('MyData in MyDistrict')

# legend:
l1 = min([email protected][,'data'])
l2 = round(mean([email protected][,'data']), 0)
l3 = max([email protected][,'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))


# open map:

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