Mark-recapture studies are useful for estimating population size and survival in wildlife populations, but can be overwhelming because of the massive amount of literature on their development and application.
Let’s dip our toes into some capture-recapture models using the famous `dipper` data set and the marked package in R.
The syntax (and approach) is almost identical using RMark to access the widely used MARK program. The code from this tutorial is available on my GitHub page for mark-recapture workshops.
Let’s get started!
I've updated two posts to deal with changes to the Google Maps API, which makes downloading Google Maps tiles more challenging.
In brief, you need to register for a key, enter a credit card number and register the key within R to download Google map tiles as of mid 2018. There is a large amount of tiles that can be downloaded for free (as of this writing), but I have changed my tutorials to use Stamen map tiles, and included code on how to register for a key and use the Google tiles (if you still wish to).
The posts that I updated (that used ggmap):