[GIS] Converting OpenStreetMap (OSM) file to shapefile

linuxopenstreetmapshapefile

I am trying to convert an ".osm" file to a shapefile. I want to display roads mainly.

I am using qgis (on Debian Linux) ..

EDIT (as recommended):
O.k, here is the problem … I want to create a shapefile for an Amateur Radio application … the current shapefiles they have really sucks big time … so I downloaded qGis (which I regret wasting data on) and it is one BIG confusing hole of misery …

Eventually after reading 2 hours of uninformative badly written examples on the net I finally figured out myself how to get OpenStreetMaps loaded into bloatware qGis …

I select the area I wanted to work with … after freezing up 4 times I eventually got evilware qGis NOT to break anything and download the info … now I have an .osm file … there is only one export option, something called epx? … there is no option to save or export it as a shapefile …

I hope that gives more clarity …

Best Answer

The easiest way, is to add this osm file to qgis.

You will be asked which layer to add.

Once the layer is added, you can then export it to shape file

Edit:

As some commentators were complaining about lacking examples I'll post an example from the docs. IMHO it wouldn't be necessary to retype existing examples here, would it?

library(maptools)
library(osmar)
url <- "http://osmar.r-forge.r-project.org/"
file <- "muenchen.osm.gz"
download.file(sprintf("%s%s", url, file), file)
unzip("gzip -d muenchen.osm.gz") # gzip is linux only, on windows I unzipped this manually with 7zip!

src <- osmsource_osmosis(file = "muenchen.osm")
muc_bbox <- center_bbox(11.575278, 48.137222, 3000, 3000)
muc <- get_osm(muc_bbox, src)
muc
summary(muc)

hw_ids <- find(muc, way(tags(k == "highway")))
hw_ids <- find_down(muc, way(hw_ids))
hw <- subset(muc, ids = hw_ids)

plot(muc)
plot_ways(hw, add = TRUE, col = "green")

# convert to spatial object (SpatialLinesDataFrame)
# and save to whatever format you like..
hw_line <- as_sp(hw, "lines")

enter image description here

Best Answer

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