Skip to content

hannahwauchope/TrustingTrends

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

When can we trust population trends?

This is the code associated with the paper:

Wauchope, H. S., Amano, T., Sutherland, W. J., Johnston, A. (2019) "When can we trust population trends? A method for quantifying the effects of sampling interval and duration" Methods in Ecology and Evolution, Early View.

The code is adaptable to any dataset, but is admittedly fairly long and complex. A description of the components of the code, required data, and how to adapt, see the text at the beginning of the "WauchopeQuantifyingTrends_1.R" file.

To aid with trouble shooting, there is a Dummy Data file that represents the actual data used with the code. I took the actual data (which requires permission from the Christmas Bird Count to access) and wrote over everything, so they are fake Population names, randomly simulated Negative Binomial counts, Years from 1:30 and Hours set to 1. It’s in an RData format, object name “TYB_Dummy”.

It's the same length as the actual data used with the code just to try and keep it as consistent as possible for error checking, but obviously you can reduce it to just a few populations so it doesn’t take a long time to run.

About

When can we trust population trends?

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages