
Dr. Andrew T. Taylor's #FishSci lab | #ConsBio #Riverscapes #PopGen #BlackBassDiversity | views=mine
University of North Georgia
Joined September 2019
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Taylor Fish Lab retweeted
This animated map imagines rivers standing up like trees. The link shows you an animated globe. Explore the world of river trees and see what your favourite river looks like standing upright! Source: buff.ly/Qf151Av
Taylor Fish Lab retweeted
Chris Thacker and I have published a new review on the phylogenetics and biology of acanthopterygian fishes. This lineage includes more than 19,100 species, comprising nearly one third of all species of vertebrate animals!
link.springer.com/article/10…
Taylor Fish Lab retweeted
Our paper is out. And it is distressing.
Rapid butterfly declines across the United States during the 21st century | Science science.org/doi/10.1126/scie…
Taylor Fish Lab retweeted
New paper from my PhD 🧬🐬
Admixture is increasing genetic diversity and adaptive potential in low latitude killer whales promoting an genetic rescue effect.
See more here: onlinelibrary.wiley.com/doi/…
(1/n)
Taylor Fish Lab retweeted
Amidst continued terminations in the nation's federal workforce, AFS joined forces with @foresters, @rangelands, and @wildlifesociety to issue a statement in support of federal employees and their critical conservation work: fisheries.org/2025/02/natura…
Taylor Fish Lab retweeted
Last week, a video of a rare black seadevil anglerfish spotted near the ocean surface made headlines because anglerfish typically live in very deep waters.
Dr. @Sternarchella joins us to discuss the video and recent research on anglerfish evolution.
buff.ly/3XbxoYb
Taylor Fish Lab retweeted
Description of the Sicklefin Redhorse (Catostomidae: Moxostoma) by Robert E. Jenkins, Scott D. Favrot, Byron J. Freeman, Brett Albanese, and Jonathan W. Armbruster
Date of publication: 18 February 2025
OPEN ACCESS DOI link: doi.org/10.1643/i2024049
Taylor Fish Lab retweeted
Since it is Presidents' Day, here is the Highland Darter (Etheostoma teddyroosevelt), named (scientific name) after the 26th president of the U.S., Teddy Roosevelt. It can be found in the Arkansas River drainage and upper reaches of the White River drainage on the Ozark Plateau.
Taylor Fish Lab retweeted
After "WILD caught" they should add "...and it's been in the wild a loooong time. Like seriously, have you ever eaten something as old as your grandparents?"
Taylor Fish Lab retweeted
Gene editing technology began by people studying salt marshes. Ozempic began by folks studying the venom of Gila monsters. Support for basic science has empowered us to understand our world. Tethering it to applications health has transformed and saved countless lives.
Taylor Fish Lab retweeted
you may have already given up on your New Year’s resolutions, but the zebra mussels on your boat are still clinging on
Taylor Fish Lab retweeted
Very proud of this paper led by @L_DBall where we examine what ‘Unexplored’ means in a natural history context - we recommend ‘biodiversity blindspots’ instead for places that lack digitized public data
Video abstract youtu.be/QZ8wUrgJEao
Paper here peerj.com/articles/18511/
Taylor Fish Lab retweeted
A species of lungfish found in South America has claimed the title of the animal with the biggest genome sequenced so far.
Learn more: scim.ag/8kI @NewsfromScience
Taylor Fish Lab retweeted
Introducing fastml: your all-in-one R package for streamlined machine learning workflows! Whether it’s classification or regression, fastml handles automatic data splitting, preprocessing, model training, hyperparameter tuning, and evaluation—no heavy lifting required.
Just point fastml() at your dataset and target, and watch it train multiple models, pick the best one, and present easy-to-read summaries. For classification tasks, get metrics like Accuracy, F1, Kappa, Precision, Sensitivity, Specificity, and ROC AUC. For regression, compare RMSE, R-squared, and MAE. It plots performance bar charts and ROC curves so you can visualize everything at a glance.
No more juggling dozens of packages or writing repetitive code. fastml integrates seamlessly with tidymodels, ensuring state-of-the-art machine learning practices are just a single function call away. Whether you’re new to R or a seasoned data scientist, fastml helps you focus on insights, not boilerplate.
Try fastml() today and experience a faster, cleaner, and more elegant way to do machine learning in R!
#Rstats #MachineLearning #DataScience #Research #Science
Taylor Fish Lab retweeted
My student Griffin just sent me this profoundly sad photo of a Great Bowerbird bower. The painting on the right depicts what the bower should look like, filled with pebbles, shells, and bones. Nowadays, the birds use what they can most easily find in their surroundings: garbage.
Taylor Fish Lab retweeted
this year, I'm having students in my conservation genetics class complete an end-of-the-semester project that involves performing basic analyses / manipulations of SNP data with scikit-allel. sharing materials here in case it is helpful: github.com/elinck/conservati…
Taylor Fish Lab retweeted
Looking to create stunning, data-rich maps in R? The tidyterra package makes it simple to integrate spatial data with ggplot2, bringing the power of the tidyverse to geospatial analysis. With tidyterra, you can work with spatial data just like any other data set in ggplot2.
✔️ Ease of Use: Simplifies map creation by integrating with ggplot2, using familiar functions and syntax, which reduces the complexity of working with spatial data.
✔️ Flexible Visualizations: Supports a variety of geospatial formats, allowing you to combine spatial data with other data sets, and work seamlessly with both raster and vector data.
✔️ Efficient Data Handling: Leverages dplyr-like functions for filtering, summarizing, and joining, which streamlines data processing and enables smooth integration between spatial and non-spatial data.
✔️ Beautiful Maps: Create detailed, customizable maps with less code and more flexibility, using the grammar of graphics you already know from ggplot2.
The visualizations shown here are taken from the package website and demonstrate how tidyterra simplifies creating detailed maps using ggplot2: dieghernan.github.io/tidyter…
If you’d like to learn more about ggplot2 and how to create stunning visualizations, check out my online course on “Data Visualization in R Using ggplot2 & Friends,” starting on November 25, 2024! See this link for additional information: statisticsglobe.com/online-c…
#RStats #Data #datascienceeducation #ggplot2 #StatisticalAnalysis #datavis #RStudio #DataViz
































