It’s Dec, 23rd and this is my early present to the QGIS community: a package of ready-to-use road symbols that make your OpenStreetMap data look like Google Maps.

In a previous post, I did already show how to prepare a view that will help get similar looking road labels. And now, here are the necessary symbols: osm_symbols.xml (Load using “Style Manager”.)

Now, you should have all necessary symbols available to create the style. I used the following rules to get the map shown above:

rules for "Google Maps" style

You can download the style here: v_osm_roads_style.qml

Merry Christmas!

OSM styled like "Google Maps"

PS: For water and natural areas, I used Cloudmade’s natural.shp

This is the follow up post to “An osm2po Quickstart” which covers loading the OSM network into PostGIS and using the result with pgRouting. After parsing the OSM file, e.g.

C:\Users\Anita\temp\osm2po-4.2.30>java -jar osm2po-core-4.2.30-signed.jar prefix=at "C:\Users\Anita\Geodaten\OpenStreetMap Data\austria.osm.pbf"

you should find a folder with the name of the prefix you chose inside the osm2po folder. It contains a log file which in turn provides a command line template for importing the OSM network into PostGIS, e.g.

INFO commandline template: psql -U [username] -d [dbname] -q -f "C:\Users\Anita\temp\osm2po-4.2.30\at\at_2po_4pgr.sql"

Using this template, we can easily import the .sql file into an exiting database. My pgRouting-enabled database is called wien_ogd.

C:\Users\Anita\temp\osm2po-4.2.30\at>psql -U [username] -d wien_ogd -q -f C:\Users\Anita\temp\osm2po-4.2.30\at\at_2po_4pgr.sql

Now, the data is ready for usage in QGIS:

The osm2po table in QGIS

Using “pgRouting Layer” plugin, it’s now straightforward to calculate shortest paths. I had to apply some changes to the plugin code, so please get the latest version from Github.

A shortest path in osm2po network

Using osm2po turned out to be far less painful than I expected and I hope you’ll find this post useful too.

This post covers the necessary steps to use osm2po on Windows. Osm2po is both, a converter and a routing engine. It parses OpenStreetMap data and makes it routable. While osm2pgrouting seems to be limited by the amount of memory that is available on your system, osm2po is able to convert large sets like europe.osm. It generates SQL Insert scripts for PostGIS, compatible with pgRouting and Quantum GIS.

To get started, download osm2po and an OSM binary file like e.g. austria.osm.pbf. Extract osm2po and you’ll find the .jar file together with the tool’s documentation (German only though).

That’s all, you’re ready!

To load your network from the .pbf run:

C:\Users\Anita\temp\osm2po-4.2.30>java -jar osm2po-core-4.2.30-signed.jar prefix=at "C:\Users\Anita\Geodaten\OpenStreetMap Data\austria.osm.pbf"

Once finished, you should be able to test the results by visiting http://localhost:8888/Osm2poService in your browser:

A shortest path using osm2po routing

Next up: How to use osm2po with pgRouting.

This is a follow up post on “Guide to Advanced Labeling for OSM Roads”. This post covers how to create a map that looks similar to the classic Google Maps map based on OSM data.

Styling OSM road data is a bit tricky due to the many different possible options in OSM “type” tag. It takes some fiddling around to get results similar to Google. The easiest way to create such a style is using rule-based renderer with “Symbol levels” enabled.

I’ve excluded a number of road types from being rendered and labeled. This is done by NOT specifying a rule that fits those classes. That’s the reason why I don’t have a “no filter” rule. Instead, I’ve specified

type NOT IN ('footway','footpath','steps','cycleway','pedestrian','track','bridleway')

to cover all the roads I don’t want specifically highlighted but displayed using default style. This way I can make sure that footways and similar are neither drawn nor labeled.

Google-style rules for OSM with multiple zoom levels

Now, we can have a look at how to create those road shields Google uses:

Sample from Google Maps

Currently, it’s not possible to solve this using the labeling engine. And even after labels with “shields” will be implemented, there is still the problem that we want both road names and road numbers labeled – preferably without having to duplicate the layer.

For now, one possible solution for this is to create the shields using the “Marker lines” feature of new symbology. As the name suggests, you can put markers on lines. In this case, the marker will be our road shield. It basically has two parts: the colored shield plus the text. The shield can be created by putting two squares besides each other. (Adjust the offsets to move them besides each other.) Then we can put the text on top, one letter at a time.

Creating the road shield marker

Place the marker on the line once and deactivate “Rotate marker”.

A "road with shield" style

These styles can be assigned to every road you want to decorate with a shield. If you save the style, you just need to change the text next time.

And this is how the result can look like.

Zoomed-out result

Maybe the shields turned out a little too big compared with the original.

Zoomed in, more labels will be displayed and an additional layer with metro stations becomes visible. The metro symbol was created using the same technique described for the road shields.

Zoomed-in result

One disadvantage of creating road shields with this technique – besides the fact that it’s rather tedious – is that there is no collision detection between labels and shields. Nonetheless, it’s a viable solution that allows you to create high-resolution maps that look very similar to Google Maps using free OSM data.

Advanced labeling in QGIS new labeling engine is mostly about data-defined settings. Almost any property of the label can be controlled.

For this example, we will try to mimic the look of the classic Google map with it’s line and label styles. The data for this post is from the OpenStreetMap project provided as Shapefiles by Cloudmade.

After importing the roads into PostGIS using PostGIS Manager Plugin, we can create a view that will contain the necessary label style information. The trick here is to use CASE statements to distinguish between different label “classes”. Motorway labels will be bigger than the rest and the buffer color will be the same color as used for the corresponding lines.

DROP VIEW IF EXISTS v_osm_roads_styled;

CREATE VIEW v_osm_roads_styled AS
CASE WHEN type = 'motorway' THEN 9
     ELSE 8 END
     as font_size,
'black'::TEXT as font_color,
false as font_bold,
false as font_italic,
false as font_underline,
false as font_strikeout,
false as font_family,
1 as buffer_size,
CASE WHEN type = 'motorway' THEN '#fb9139'::TEXT
     WHEN type IN ( 'primary','primary_link','secondary','secondary_link') THEN '#fffb8b'::TEXT
     ELSE 'white'::TEXT END 
     as buffer_color
FROM osm_roads;

In QGIS, we can then load the view and start styling. First, let’s get the line style ready. Using rule-based renderer, it’s easy to create complex styles. In this case, I’ve left it rather simple and don’t distinguish between different zoom levels. That’s a topic for another post :)

Google-style rules for OSM road data

Now for the labels! In “Data defined settings”, we can assign the special attributes created in the database view to the settings.

Completed "Data defined settings"

To achieve an even better look, go to “Advanced” tab and enable “curved” and “on line” placement. “Merge connected lines to avoid duplicate labels” option is very helpful too.

Finally – after adding some water objects (Cloudmade natural.shp) – this is what our result looks like:

Google-style OSM map

This solution can be improved considerably by adding multiple zoom levels with corresponding styles. One obvious difference between the original Google map and this look-alike is the lack of road numbers. Tim’s post on “shield labels” can be a starting point for adding road numbers the way Google does.

This is something I have been wanting to do for a long time: map which areas of Vienna have fast access to a certain kind of infrastructure. Now, I finally found time and data to perform this analysis. Data used is OSM road data (Cloudmade shapefile) for Austria and metro station coordinates for Vienna by Max Kossatz and Robert Harm.

Before importing the OSM roads into PostGIS, I cut out my area of interest and created a clean topology using GRASS v.clean.break. Once loaded into the database, assign_vertex_id() function does the rest and the network is ready for routing and distance calculations.
For the metro stations, I calculated the nearest network node using George MacKerron’s Nearest Neighbor function.

Catchments were calculated using driving_distance() function. It returns distance to a given metro station for all network nodes (up to a maximum distance). The result can be interpolated to show e.g. which areas are at most 1 km away from any metro station.

1 km catchments around metro stations in Vienna

Close-up look at the 1 km catchment zone border

Once set up, performing this analysis is reasonably fast. Instead of metro stations, any other infrastructure coverage can be analyzed easily. I could imagine this being really useful when looking for a new flat: “Find me an area close to work, a metro station and a highschool.”

The next great thing would be to have all data for calculation of transit travel times too. Yes, I’m looking at you Wiener Linien!

The 1st European State of the Map Conference (SotM-Europe) will be held July 15-17 in Vienna, Austria. So far, there have been 4 International State of the Map conferences. This will be the first European edition of this event.

Topics include:

  • Mapping (mapping, data, tagging, the state of the map in your country, etc…)
  • TechTalks (development, rendering and infrastructure)
  • Powered by OpenStreetMap (projects/business ideas based on OpenStreetMap)
  • Convergence (open geo data world vs. the world of proprietary and authoritive data and software)
  • Research (for researchers working with OpenStreetMap data)
  • Others (other interesting information)

The call for papers is still open until Monday, February 28 2011.

The international conference will be held in Denver, Colorado from September 9-11 2011.

Openstreetmap offers a handy API for querying their database: XAPI. You’ll find the docs on their wiki at

To download all traffic signals within a certain bounding box:[highway=traffic_signals][bbox=16.26,48.18,16.31,48.20]

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