As you may remember early this year we got permission to use the open address data from the Canton Berne in OpenStreetMap, this after a couple of years back and forth due to the new cantonal legislation and older usage terms that sounded as if the data might be usable but in reality didn’t allow it.
The address data is available from the cantonal open data portal however it is rather unwieldly (a good 400’000 addresses) and problematic to handle even in JOSM. I foolhardly promised to do something about that at the time, but didn’t get around to doing anything up to now. It should be noted that nobody has stepped forward and volunteered to organize an import of any kind, so my focus is simply proving it as reference data that can be used at a small-scale.
While my current solution is not perfect and will likely see improvements over time (for example the layer is currently opaque), it is probably the best solution for now. I’ve produced a background layer from the data that shows
usage
house
street/place
To reduce clutter I’ve shortened some of the usage strings:
Wohnhaus – WH
Bauernhaus – BH
Garage – G
Scheune – S
Gebäude – B
The data is hosted on sourcepolesQGIS Cloud system, many thanks to Marco and his team for supporting us. To make things simpler for iD users and work around some issues JOSM has with WMS servers we actually proxy this through our mapproxy instance.
Take part of this MapRoulette Challenge which is about checking if there’s a pedestrian street crossing (crosswalk) or not. This verification goes on until it’s all done. MapRoulette is a kind of gamified website and a mapping campaign similar to MapZen’s targeted editing series.
Once integrated in OpenStreetMap (OSM), crosswalks are shown in web maps (e.g. OSM Cycle Map/OSM Radfahrerkarte/OpenCycleMap, OSM France and OSM2World). And they are useful for pedestrian navigation apps (like OsmAnd).
So help OpenStreetMap to improve this missing information!
Figure 1: Cycle map from OpenStreetMap main page showing pedestrian street crossings (crosswalks) as yellow dot markers.
A crosswalk node needs to be placed as part of a way. It requires the tag highway=crossing (search for “Crossing” e.g. in built-in online editor “iD”). For the capture of other attributes like the existence of islands or traffic signals see Key:crossing on OSM Wiki.
Important notes: When using editor “iD” the presets suggest tag crossing=zebra. This tag is mainly used in UK. Since this challenge is in Switzerland you can delete this tag. Finally: When saving, a changeset comment is needed. You can use there e.g. “Missing Crosswalks Challenge”.
Figure 2: A “Street Crossing” node shown in the online editor “iD” built-in OpenStreetMap main page.
The street crossings (crosswalks) in fact are coordinates our automated process found in aerial images by using a parallel image detection algorithm. This new software works mainly with yellow crossings of Switzerland on aerial images with certain quality at zoom level 18.
The coordinate data around eastern Switzerland has been extracted at December, 2nd. 2015. This covers about a tenth of the total area of Switzerland.
Contact us if you have questions or ideas around this hot topic.
Happy mapping!
This article was originally published on geometalab.
The designers and operators of OpenTopoMap have been kind enough to allow us to include it as a background layer in umap.osm.ch Please note that the maximum zoom level for this layer is limited to 16.
On Friday we drove 870 km to Haarlem in the vicinity of Amsterdam to pick up three servers. Wikimedia has decommissioned their two year old toolservers and donated the hardware to SOSM. Thanks to Wikimedia Germany and Wikimedia Switzerland for making this possible.
This will enable us to run our services on our own hardware in Switzerland. Support the move by contributing to the SOSM donation drive 2015.
As you may know, SOSM provides a range of services for the Swiss OpenStreetMap community. Currently this is financed for a major part out of our regular membership fees, this however limits some aspects of our operations quite considerably. All services are currently run on a single, small leased server in Germany.
In 2015 we would like to
move all services to a hosting location in Switzerland
provide better performing and redundant hardware for our most popular services (map tiles, uMap and routing)
expand our OSM data and imagery hosting offerings (for example the current imagery covering the Canton Aargau)
While we have the prospect of a number of in-kind donations to support the above, more on that soon, there is still the need for additional funds to cover cash outlays. Example: while we have a computer hardware donation arranged, the hardware will have to be imported and VAT on its value paid, just this single item would be substantially outside of SOSMs current annual budget.
To support the plans for this year SOSM board has therefore decided to explicitly ask for donations to SOSM in 2015 with the goal of collecting at least CHF 5000 over the course of the year.
Swiss OpenStreetMap Association
Heitersbergstrasse 1
8962 Bergdietikon
Switzerland
Please note 2015 DONATION DRIVE on the payment. By default we will be publishing the names of all donors, if you don’t want to be mentioned, please add that either to you payment information or send mail to info@sosm.ch.
SOSM will be holding its 2015 AGM in Bienne/Biel, 11:00 at the Lago Lodge . We intend to follow the same format as previous years: short formal part, lunch and then some mapping. Agenda and venue will be announced by mid March.
Non-SOSM members are welcome, if you want to attend the meeting and/or lunch please send mail to info@sosm.ch since space is likely to be limited.
We’ve updated the imagery available via the SOSM mapproxy service to include more recent imagery for Solothurn and the recently releast imagery for the city of Berne. The imagery for the canton Solothurn is a mosaic of imagery between 2011 and 2014 provided by the cantonal GIS office SOGIS, replacing the old 2007 and 2011 orthophotos.
Together with the new AGIS imagery, the above has been added to the central OSM imagery index and should be available in iD, P2 and vespucci soon.
If you can’t wait, the imagery is available via the following pseudo URLs: