Discussion: World Rogaining Championships 2019

Is there a listing of results that includes athletes' names, not just team names?

You can find the names under the info button on the tracking for a team but not sure if there is an easy list to look at and scan.

On the main website, go to [registrations]/[teams]/[confirmed teams] for a spreadsheet with team information. Any of the columns can be sorted alphabetically to gather team member names with the team names. Then you've got to cross check with the results listing.

Thank you. I have been doing just that. However, I thought that it would have made more sense for the organizers to publish the results somewhere with that information merged together. A few years from now when the registration page has been removed, there will be no record of anyone's results.

BTW Ken, well done.

The website has now added
"WE ARE WORKING IN RESULTS LAST VERSION, WITH TEAM MEMBER NAMES AND NATIONALITY FIELDS. COMING SOON."
Thanks

Thanks -- much better run than I did last summer up in northern NY!

Congratulations to the Raccoongainers that participated and completed in the 2019 World Rogaining Championship in Catalunya, Spain@wrc2019cat #wrc2019 #rogaining pic.twitter.com/LrF3JmDiee

— Raccoongaine (@Raccoongaine) July 29, 2019

Does anybody know if there is an electronic version of the map posted somewhere? I'd like to see how our gpx track matches up with where we thought we were in a few places. Mostly we were pretty accurate on the navigation, but there were 3 or 4 controls where we took two or three passes through the area to actually hit the control, and it would be interesting to know by just how far we missed on our first try. And there was one exit from a control during the night where the compass apparently got bumped a bit somewhere after leaving the control, and we apparently greatly over-corrected once we noticed the problem.

You can watch the replay of the GPS. It's probably the easiest solution.

Ah, great to see Eric Smith of CNYO - central New York Orienteering, in the video... https://t.co/6HORbLqy80 pic.twitter.com/gn4giX9CUA

— Raccoongaine (@Raccoongaine) August 5, 2019

@JLaughlin: Thanks for the tracking link, very interesting!

In particular, the map looks a lot like something 90%+ autogenerated, with government topo data overlayed on computer generated contours, vegetation and cliffs. The cliffs look like the OCAD version of steepness-to-cliff objects process while the yellow and green could be either OCAD or Kartapullautin?

BTW, the terrain looks like a kinder (less vegetation and briar) version of the Barkley Marathons course, but with similar average steepness.

The Rogainers just need to keep going for 36 more hours to get a similar effort, right?
More seriously, I believe some of the best ultra (mountain marathon) distance orienteers would have better odds than any other virgins to complete the Barkley.

The map was definitely mostly autogenerated but was fieldchecked pretty well. I went out for some runs on the 6-hr map and didn't notice any problems.

General availability of LiDAR plus free/cheap processing sw means that _many_ mountain areas have suddenly become much more interesting for orienteers: We can make our own map and have very relevant training or even competitions with orders of magnitude less mapping work.

We had "Vinjes Fjelløp" near the JWOC 2015 arenas both before and after JWOC, i.e. here is my map from 2016:

https://tmsw.no/qr/show_map.php?user=terjem&ma...

I used aerial images to draw in the 2-3 paths, otherwise this was all done from the LAZ files.

The Map was a very good representation of the terrain. In the notes they mention that Cliff/Features were marked as the dominate feature in any given area. ie in Complex areas only the large features were marked vs sparse areas where smaller features were marked. What I found was that some of the trails were difficult to pick up on. But where that happened simply used the contour features.

Undergworth at Barkley is pretty much non existent compared to La Molina. Barkley would generally be mapped as White with patches of tight green stripe.
Steepness, on par I guess