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@scottwilliamf.bsky.social

72 Followers  |  196 Following  |  5 Posts  |  Joined: 13.01.2025  |  1.5515

Latest posts by scottwilliamf.bsky.social on Bluesky

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Heading to ESA2025? Tracking animals or interested in movement ecology? Join the 'Movement ecology for conservation action' symposium!

Full description here: tinyurl.com/MoveSINsympo...

And don't forget to join the MoveSIN - we will be underway soon! forms.gle/dfk3HmXU1zZn...

#ESAus2025 #ecology

26.06.2025 03:09 β€” πŸ‘ 1    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Thanks Grant!

21.06.2025 07:15 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Looking forward to an exciting ICCB! I'm presenting some recent work using deepSSF to simulate animal movement and dynamic distributions in 'Landscape & Spatial Ecology II', Wed 8:30-10:30am. Preprint here: www.biorxiv.org/content/10.1... and code and supp info here: swforrest.github.io/deepSSF/.

13.06.2025 00:26 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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🚨 New research out today from my PhD exploring population genetics of 3 lizard species across fragmented and continuous habitat.

link.springer.com/article/10.1...

15.03.2025 01:01 β€” πŸ‘ 12    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
Postdoctoral Fellow in Machine Learning & Butterfly Ecology Are you looking for a new opportunity to contribute to the science that is needed to understand the state of biodiversity and help develop tools that can be used to inform conservation strategy and policy?

Postdoc job at Naturalis: "Postdoctoral Fellow in Machine Learning & Butterfly Ecology" https://www.naturalis.nl/en/about-us/job-opportunities/postdoctoral-fellow-in-machine-learning-butterfly-ecology (Beautiful museum, great work environment, plus The Netherlands :) #academicjobs #postdoc

19.02.2025 14:38 β€” πŸ‘ 11    πŸ” 12    πŸ’¬ 1    πŸ“Œ 0
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The latest release of the {mvgam} #rstats πŸ“¦ has hit CRAN. Plenty of exciting new features including Joint Species Distribution Models, support for the full range of Gaussian Process kernels available in the {brms} πŸ“¦ and plenty more nicholasjclark.github.io/mvgam/news/i...

19.02.2025 22:09 β€” πŸ‘ 44    πŸ” 12    πŸ’¬ 0    πŸ“Œ 0
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Animal movement is complex, depends on many interacting factors, and can be hard to accurately predict. Here we present a novel approach using a deep learning step selection framework: tinyurl.com/2em9yyjb, with lots of supporting info and code! swforrest.github.io/deepSSF/

19.02.2025 02:28 β€” πŸ‘ 8    πŸ” 2    πŸ’¬ 0    πŸ“Œ 1

Hi, thanks for the comment. We cited the main R packages we used for data processing and the statistical analyses (terra, amt, TwoStepClogit), but you're right that we didn't cite packages such as ggplot2, which was an oversight. I depend on ggplot2 and co so I'll be more careful in the future!

04.02.2025 23:04 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Stoked to have a cover photo for @ecography.bsky.social! In our paper doi.org/10.1111/ecog... we included temporal dynamics into SSFs, resulting in daily patterns of movement and habitat selection.
Simulating gave us dynamic spatial predictions across the landscape.
Code! github.com/swforrest/dy...

03.02.2025 22:37 β€” πŸ‘ 15    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0

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