Plant diversity estimates of Mediterranean islands differ among biodiversity databases Large-scale biodiversity databases encompass three main types of data for plants, namely single species point occurrences, co-occurrences in vegetation plots, and checklists for specific areas. Evide...

🌿 How many plant species live on Mediterranean islands?
More than we think—and it depends on the database.

📄 Open access: nsojournals.onlinelibrary.wiley.com/doi/10.1002/...

In preparation for the next iteration of my data science class, I've made many updates to our #JuliaLang species distribution package. There's now a "Getting started" tutorial that, I think, is pretty good, and is meant to get you started within 20 minutes!

🌏

poisotlab.github.io/SpeciesDistr...

📖Published📖

In this study, authors propose DeepMaxent, a new species distribution models method for presence-only data that generalizes Maxent to multi-species deep neural networks with a direct relationship to a Poisson count loss 🌍 🧪 Read here 👇

The dos and don’ts for predicting invasion dynamics with species distribution models - Biological Invasions Invasion dynamics are context-dependent and non-equilibrial, with invasive spread and associated impacts continuously unfolding contingent on pathway, history, and chance, over features of recipient e...

The dos and don’ts for predicting invasion dynamics with species distribution models 🌎🌐🧪 #bioinvasions link.springer.com/article/10.1...

Climate niche models correctly predicted the direction of some empirically documented range shifts for bird species in the genus Tyrannus. CREDIT: Jeewantha Bandara.

Climate niche models underestimate the speed with which species move in response to climate change, according to comparisons between the models and observed shifts for more than 3,500 species. Median rates were four times faster than predicted. In PNAS: https://ow.ly/Mokn50YCqty

Fantastic & amazing collaboration & research project about modelling & predicting the future of our global floras in a world of Plant invasions!

Almost 10.000 SDMs & range projections😱😍💪

The geobounds package by Diego Hernangómez gives you direct access to the open global geoBoundaries dataset. 🗺️

URL: dieghernan.github.io/202602_geobo...

#RStats #RSpatial #GISchat

Summarise and Explore Continuous, Categorical and Date Variables Explore continuous, date and categorical variables with summary statistics, visualisations, and frequency tables. Brings the ease and simplicity of the sum and tab commands from Stata to R, including ...

Pleased to announce a new version of {sumvar} 0.2.0 for R, on CRAN.

Feed sumvar your data and watch it summarise instantly.

Continuous variables:
df %>% dist_sum(var, group)
Categorical:
df %>% tab(var1, var2)
The whole database:
df %>% explorer()
#rstats
alstockdale.github.io/sumvar/

Lessons learned using species’ distribution models for conservation planning in the Golden Gate Biosphere reserve Conservation practitioners responsible for maintaining biodiversity and ecosystem services within protected areas require information about how dominant plant species may reassemble under rapid…

New research by @dramalamujer.bsky.social and colleagues used SDMs to project plant species habitat shifts in the Golden Gate Biosphere, showing complex responses to climate change and identifying refugia. The results underscore the need for multi-scale conservation planning.

Downscaling daily solar radiation in the Canary Islands with GAM Researcher in climate science at MBG-CSIC

🆕 BLOG POST
There’s so much more to spatial downscaling today than classic LM or kriging. In my new blog post, I show how flexible and powerful GAMs can be for this task. #rstats #dataviz

➡️ dominicroye.github.io/blog/canary-...

A Few Claude Skills for R Users – R Works The community has come together to create some great Claude Skills that you can try out today.

I rounded up a few Claude Skills for #RStats users.

Huge thanks to the creators who developed them. They share Skills for everything from tidyverse code to brand.yml files to learning while using AI.

Hope the list is useful, and please let me know what I missed! 🧡

rworks.dev/posts/claude...

GitHub - cribbie/negligible: This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing). This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing). - cribbie/negligible

This #rstats #package #negligible examine negligible effect / #equivalent testing in #SEM model after #lavaan, a few of the functions include
1) #neg.semfit (CFI, RMSEA, SRMR)
2) #neg.normal

github.com/cribbie/negl...

supercells helps group raster cells into meaningful spatial units for analysis and ML.

v2 adds many new features.

Docs: jakubnowosad.com/supercells/a...

Please try it and share feedback, suggestions, or use cases -- your input will help shape the release 🙏

#rstats #RSpatial #GISchat

A Niche in the Machine: The Promise of AI Foundation Models for Species Distribution Modeling
doi.org/10.32942/X2V...

Feb. update to the LLM+R guide 💪

8 new packages including:
code review, predictive modeling, speech-to-text, text-to-speech, HuggingFace integration, Gemini CLI companion, a CLI coding agent written in R🤯 ,and more!

available in English 🇱🇷 and Spanish 🇲🇽
luisdva.github.io/llmsr-book/
#rstats

🛖🗺️On the use of neighboring habitats as predictors of species distributions

vist.ly/4s6xc

#Animals #EcologicalNicheModelling #FocalPredictor #MultiScaleProcess #Plants #SpatialScale

Flexible methods for species distribution modeling with small samples vist.ly/4rq4e #SDM #MaxEnt #NicheModels

New research showing a mismatch between projected spruce habitat suitability under climate change and current management practices in Sweden.
www.tandfonline.com/doi/full/10....

Been outside of academia for half a decade now, yet I’m still part of that universe. Life works in mysterious ways

R Coding for Ecology chapter on the cartogram package explores mapping ecological patterns with cartograms -- visualizing sampling bias by resizing regions based on data values.

Chapter: doi.org/10.1007/978-...
Code: github.com/RCodingForEc...

#RStats #GIS #DataViz #LandscapeEcology

When Good Fit Goes Bad: Identifying and Minimising Overfitting in Ecological Niche Models Aim To synthesise current understanding of overfitting as a pervasive and often underdiagnosed problem in correlative ecological niche models (ENMs), and to assess its consequences for model interpr...

Our last contribution is a review on correlative ecological niche models' overfitting. We examined diagnostic approaches and evaluated modelling practices related to sampling bias, predictor choice, study area definition, model complexity and regularisation.
doi.org/10.1111/jbi....

Species distribution modeling with expert elicitation and Bayesian calibration Species distribution models (SDM) are key tools in ecology, conservation, and natural resources management. They are traditionally trained with data on direct species observations. However, if collec....

Ever wondered how to use supra-Bayesian approach in species distribution modeling (SMDs). Well we present a framework for it and exemplify it with real data on fish reproduction area estimation.

nsojournals.onlinelibrary.wiley.com/doi/10.1002/...
1/3

📖 Published!

CISO, a deep learning-based method for species distribution modelling Conditioned on Incomplete Species Observations 🖥️ 🦌 🌍

🔎 Find out more:

🗺️ fastfocal: fast moving-window and point extraction for rasters in R, optimized for large windows and common focal stats via FFT. Built on terra.

cran.r-project.org/package=fast...

#RStats #GIScience #RSpatial

Flexible methods for species distribution modeling with small samples Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision-making. However, current SDM methods o....

New paper out today 🧵
Flexible methods for species distribution modeling with small samples (Ecography, OA). nsojournals.onlinelibrary.wiley.com/doi/10.1002/...

Check out our new paper in Ecological Modelling!

Divergent responses of endemic and non-endemic plant species to climate change in South American Lomas ecosystems Abstract. The Lomas ecosystem, situated along the arid coast of Peru, is a key refuge for biodiversity, characterized by unique vegetation adapted to dry c

【🎉Latest accepted article】
Divergent responses of endemic and non-endemic plant species to climate change in South American Lomas ecosystems

#Drought | #EndemicSpecies | #MaxEnt | #SpeciesDistributionModeling

@kvanmeerbeek.bsky.social
@kuleuvenplantinst.bsky.social

doi.org/10.1093/jpe/...

#rstats

Soooo if you use #RStats and Claude Code:
R console: install.packages("btw")
Terminal: claude mcp add -s "user" r-btw -- Rscript -e "btw::btw_mcp_server()"
And now Claude Code can answer questions about ANY R package installed on your system.

The Performance and Potential of Deep Learning for Predicting Species Distributions onlinelibrary.wiley.com/doi/10.1111/...