My favorite #Python package to use is spopt, a library for spatial optimization.

It helps you with:

📊 Facility location planning;
📊 Sales territory design;
📊 Maximizing market share;

And much more! Check it out here:

pysal.org/spopt/

Delighted to share our new review paper on "Understanding and predicting animal movements and distributions in the Anthropocene" 🎉🐾🦌🐧🦅🌍

#AnimalMovement #MovementEcology @besmovesig.bsky.social

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...

{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

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).

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

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.

Global distribution of forest landscapes covered by airborne LiDAR

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 🤦🏻‍♂️

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....

“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... 🧪🌐

Listen to AI podcast on Kass et al. „Achieving higher standards in SDM“ earthskysea.org/ecocast-podc... by @earthskysea.bsky.social

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...

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...