I wrote a how-to recently on “Cleaning up” after the OpenStreetMap TIGER import. As a reminder, here’s what TIGER data used to look like when it was imported into OSM in 2008:
Fortunately, the OpenStreetMap community has fixed most of the alignment and road classification issues connected to the TIGER import in the past 12 years. (With some help from tools like Battlegrid, which I wrote when at Telenav.) Yet, problems remain. In that previous blog post, I outlined an easy to follow set of steps to identify and start fixing problems in your area of interest.
Writing a blog post does not fix map problems. And most people reading this will be casual OSM contributors at best, and are not interested in following a bunch of steps that involve JOSM and plugins, to start fixing map problems.
That is why we have MapRoulette! MapRoulette gives you ready-to-fix map issues with clear instructions telling you what to do to fix them. Individual tasks don’t take more than a minute or two to fix. Ideal for casual mappers, but not to the exclusion of power mappers, many of whom have told me that they love to use MapRoulette as a tool to organize their own mapping work as well as that of their mapping group / community.
I took the Overpass query from the previous post and used it to create MapRoulette challenges for each county in Utah. You can follow the link to the MapRoulette project to start helping to fix these roads, or read on below the screenshot for a quick recap of how I created the Challenges. Happy mapping!
First, I identified the OSM IDs for all county boundary relations in Utah using this Overpass query:
[out:csv(::id,name)]; relation[admin_level=6](area:3600161993); out;
That gave me the following results:
@id name 416536 San Juan County 445605 Wayne County 445606 Grand County 1411396 Daggett County 1411399 Uintah County 1416619 Rich County 1416621 Summit County 1742078 Box Elder County 1742080 Cache County 1744354 Beaver County 1744355 Carbon County 1744356 Davis County 1744357 Duchesne County 1744358 Emery County 1744359 Garfield County 1744360 Iron County 1744361 Juab County 1744362 Kane County 1744363 Millard County 1744364 Morgan County 1744365 Piute County 1744366 Salt Lake County 1744367 Sanpete County 1744368 Sevier County 1744369 Tooele County 1744370 Utah County 1744371 Wasatch County 1744372 Washington County 1744373 Weber County
I created the first Challenge by replacing the area identifier in the original Overpass query with the Overpass-adjusted area id for the first county:
way [highway=residential] [!name] (if(timestamp() < "2010-01-01T00:00:00Z")) (area:3600416536); out; >; out meta;
Note that I also replaced
out; >; out meta;
This is to prevent MapRoulette from interpreting the nodes that make up the ways as tasks, instead of the ways themselves. The original query returns the ways, without geometry, in the first
out statement, then the
> triggers a recursive query for all the nodes that are members of those ways, and returns their geometries in the
out meta statement. Those nodes are then interpreted as separate tasks, which is not what we wanted.
out geom on the other hand, will make overpass output full line geometry, thus creating one task for each way.
Postscript. Technically this is not ‘TIGER Fix-up’—the query is just targeting ‘any residential way in OSM that has no name and has not been edited since 2009’. But it is a simple query that is a decent proxy for TIGER fix-up. There is an entire OSM wiki page devoted to more specific queries you may use.