It’s interesting that abandoning p-values and false discovery rates for 2nd generation p-values results in major reductions in decision errors: https://t.co/D0xcsJZalW
Pro tip for writers:
Don’t rush the submission step
I know you’re exhausted & just want to hit “submit,” but those annoying little details- suggesting reviewers, suggesting editors, explaining your paper in exactly 97 words- can make a real difference
Take the time
It’s worth it
Using species distribution and connectivity models, researchers identify key corridors likely to facilitate the continued spread of invasive raccoons across Europe.
🔗 https://t.co/zZqhbOkUgc
#invasivespecies
📖Published📖
In our new research article, Wesselkamp et al. synthesise existing approaches to define empirical forecast limits in a unified framework for assessing ecological predictability and offer recipes for their computation 🌍
https://t.co/qneCS4Xw5p
A new R package, jumpID, distinguishes long-distance jump dispersal from diffusive spread in #invasivespecies using occurrence data. Its application to the spotted lanternfly in the U.S. identified 152 such jumps from 2014–2022.
🔗 https://t.co/gOS3EX2tVd
📖Published📖
Schickele et al. introduce CEPHALOPOD, a standardized, highly automated and flexible framework designed to integrate and analyse heterogeneous marine data for multi-species habitat modelling following best practices in the field 🌊
https://t.co/YWIbSxzXSX
📖Published📖
Check out our new Research Article 👉 Agent-based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data
https://t.co/5hetjOjuST
https://t.co/152HS6gbJb
Huge new @GEB_macro paper looking at acoustic monitoring efforts around the world. The who, what, where, when, and how of passive acoustic monitoring. With >100 authors!
"Worldwide soundscapes: a synthesis of passive acoustic monitoring across realms"
"regional species pool bridges spatial and temporal scales from ecological dynamics in landscapes to the long- term processes shaping the biotas of entire biogeographic provinces."
https://t.co/tLP8PZa77b
📖Published📖
PhyBaSE: A Bayesian structural equation model approach to causal inference in phylogenetic comparative analyses. Read the full article here 👇
https://t.co/OzxR3swIz1
📖Published📖
Rivas et al. introduce Rthoptera, an open-source R package designed for robust analysis of insect acoustic signals 🐜
https://t.co/rz9G8ojyN9
The gtsummary package in R makes it easy to create clean, publication-ready summary tables for your data. The tbl_summary() function takes a data set and generates well-organized tables that display key statistics like counts, percentages, means, and medians, which is perfect for presenting descriptive statistics in reports, manuscripts, or presentations.
✔️ Streamlines Descriptive Statistics: Quickly generates clear and professional summary tables.
✔️ Customizable: Offers flexible options for labels, decimal places, and formatting.
✔️ Supports Various Data Types: Works with continuous, categorical, and dichotomous variables seamlessly.
The visualization below shows a sample table created with tbl_summary(), illustrating its ability to organize and present descriptive statistics effectively. Visualization adapted from the official package website: https://t.co/eGJjBEUVeT
Want to explore more practical tips on Statistics, Data Science, R, and Python? Subscribe to my email newsletter!
Learn more: https://t.co/X93SeCe0rb
#RStats #datastructure #coding #DataScience #Rpackage
A wide range of conservation actions is shown to reduce a species' extinction risk. But bias towards high-risk species means only a few species show signs of full recovery. 6 times more species have deteriorated than improved in #IUCN status | https://t.co/LRiFSf9uJN
Looking for your first quantitative ecology post-doc? Then get in touch.
I will be co-supervising a post-doc with Lourens Swanepoel (based in SA: @Univenofficial). You will have access to many awesome data sets and the focus will be on applying hierarchical models.
New chapter in Regression Modeling Strategies #rms: ordinal regression generalizes Wilcoxon, log-rank, Kaplan-Meier, Cox PH model, and all common survival time analyses. Semiparametric regression is a unifying concept. https://t.co/vr1RJxLfuk #rstats#Statistics