Finding the end of lab caches. Was:Is there a better way?

[+PeoriaBill]

Not about Lab Caches per se, but about how to organize the search for them.  As you can see from the attached picture, it is all but impossible to find them in some organized fashion.  It would be nice to grab all nearby ones instead of having to backtrack later.  This is Washington, D.C. but I believe it would apply to a lot of other built up areas. Has anyone found a better way?

[+GeoTrekker26]

Use a different map?   It appears the map you are using is cluttered with too many unneeded details like buildings. 

[+geodarts]

I have used tools such as Lab2Gpx or other apps to import lab waypoints and map them out along side of other caches. In areas in which there is a lot of overlap it requires switching from one lab to another and back again. It requires keeping track of the progress on multiple labs but it avoids backtracking.

 

 

Edited April 12, 2023 by geodarts

[+Atlas Cached]

Are you using a GPSr, or phone only?

[robertlipe]

Not really a GPS question...

This is exactly why hunting multis and adventures are no fun while traveling. Someone will think it's cute to keep stringing you on one more mile this way and one more mile and one more mile and now you're so committed to it that you can't give up, but you've driven/walked so far away from where you actually wanted to start that it's just aggravating.

I agree with HHL that your map is too busy and not really helping. Finding a better basemap or turning off details or whatever is necessary to improve the signal:noise to let your icons punch through will help.

If the question is how to solve the "how long is the rope" problem of knowing how many stages there are or how far apart they are, the answer is "no".

[+Mineral2]

If you're an android user, I would suggest using Geeoh Go. It has the ability to display and save adventure lab waypoints on the map along side geocaches so that you can work on stages as you are near them instead of working on a single AL at a time. I don't know if the same functionality exists in Cachely.