Roozbeh Valavi
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rvalavi.bsky.social
Roozbeh Valavi
@rvalavi.bsky.social

Scientific software, species distribution models, ecological statistics, geospatial analysis, machine learning, DevOps, Rust, C/C++, Python, R

GitHub: https://github.com/rvalavi

Environmental science 80%
Geography 20%

Reposted by Roozbeh Valavi

{collinear} 3.0 is now on CRAN (yay! 🥳)

This #rstats package automates multicollinearity management to improve model robustness and interpretability.

You can learn more at blasbenito.github.io/collinear/, but here's a summary of the most exciting new features: 🧵 1/5
collinear: Automated Multicollinearity Management
Provides a comprehensive and automated workflow for managing multicollinearity in data frames with numeric and/or categorical variables. The package integrates five robust methods into a single functi...
blasbenito.github.io

Reposted by Roozbeh Valavi

tmap or ggplot2 for maps? 🗺️

David O’Sullivan breaks down the trade-offs in a blog post.

URL: dosull.github.io/posts/2024-1...

#RStats #RSpatial #Maps #tmap #ggplot2
tmap vs. ggplot2 for mapping – Geospatial Stuff
For me at least the choice between ggplot2 and tmap is an ongoing question. Here are my latest thoughts on the subject (with code).
dosull.github.io
In #drylands, plants don’t grow randomly — they self-organize into disordered hyperuniform patterns that help them use water wisely & endure extreme aridity. A beautiful hidden logic of nature, revealed in a new @pnas.org study doi.org/10.1073/pnas... including #Maestrelab alumni

Just installed mine yesterday! Unfortunately I don’t have any magic solutions. You shouldn’t need C++/Rtools, but for R itself just the installer from CRAN is pretty much what you need.
Only a pre-print for now, but after 4 years of hard work I couldn't resist sharing this!

The Global Canopy Atlas: analysis-ready maps of 3D structure for the world's woody ecosystems

📜: doi.org/10.1101/2025...

Huge team effort led by the brilliant Fabian Fischer!

When taking things for granted! I still so many of their videos in my wish list 🤦🏻‍♂️
“observed patterns of island biodiversity … demonstrate that neutral models can make accurate predictions of higher-order diversity statistics. “ onlinelibrary.wiley.com/doi/abs/10.1... 🧪🌐
Quantitatively Testing Predictions From Mechanistic Models: A Case Study for Island Biodiversity
A key test of an ecological model is whether it can quantitatively predict unseen aspects of the data not used in model fitting. Here, we test whether a model fitted only to island alpha diversity ca....
onlinelibrary.wiley.com

Reposted by Roozbeh Valavi

I'll talk about this more next week but can't resist finishing my Friday with this update

Our paper is online now in early view! Sara Gomez, Luca Börger & I led a fantastic team of researchers in this review:
Understanding and predicting animal movements and distributions in the Anthropocene
Understanding and predicting animal movements and distributions in the Anthropocene
This review provides a framework to better understand and predict animal movements and distributions in human-modified environments. Bridging the gap between movement models and management/conservati...
besjournals.onlinelibrary.wiley.com

Reposted by Roozbeh Valavi

Listen to AI podcast on Kass et al. „Achieving higher standards in SDM“ earthskysea.org/ecocast-podc... by @earthskysea.bsky.social
Scores of SDM packages for R... what should I do? Out now, lead by the indefatigable Jamie Kass, our paper in
@ecography.bsky.social on the SDM Software Universe! doi.org/10.1111/ecog... Alternatively, listen to the paper @ earthskysea.org/ecocast-podc...
Achieving higher standards in species distribution modeling by leveraging the diversity of available software
The increasing online availability of biodiversity data and advances in ecological modeling have led to a proliferation of open-source modeling tools. In particular, R packages for species distributi...
doi.org