Thanks, Kara! The feeling is mutual! ☺️

This work couldn’t have been done thanks to collaborations with Oscar Flores and others at UNAM and Joe Townsend at IUP. It’s been a wonderful privilege to work with collaborators across Mexico and Central America to shed some light on the incredible biodiversity there!

Thanks for the shoutout!! So glad you enjoyed the talk ☺️

7/ Lastly, because @anushabishop.bsky.social and I love data visualization so much (and think a good figure is key to any paper!), we’ve added in functionality to make lots of fun tables and figures with algatr which we hope users will enjoy!

6/ algatr has detailed vignettes that will walk you through each of these methods and algatr’s new functionality:

5/ algatr includes everything you need for processing coordinates, environmental layers, or genetic data for any of its methods 🧹:

4/ We also discuss the benefits of ind-based sampling for these methods – it’s great, it works, and is likely the future of LG studies! Below are some of the main benefits of this type of sampling 🗺️

3/ We really also wanted to prioritize methods that can inform conservation decisions so we framed the package in such a way as to answer key questions in conservation biology 🧬. algatr makes use of a lot of existing packages, so please be sure to cite them if you do use algatr!

2/ In it, we introduce the algatr 🐊 package, openly available on GitHub. algatr builds on six landscape genomics methods that work for individual-based sampling: github.com/TheWangLab/a...