🏡 Here is the data analysis for Calgary, Summer 2025. This chart shows the relationship between vegetation density (NDVI) and Land Surface Temperature (LST).

🔥 The data reveals a critical "tipping point": vegetation only starts effectively cooling the environment once it reaches a specific density threshold. Below this threshold (the left side of the curve), green spaces stay just as hot as the surrounding concrete.
Sparse or isolated trees don't act as air conditioners—they "burn" in the urban furnace right along with us.

❗ What does this mean for Calgary? Simply planting a few scattered trees isn't enough. To actually move the needle on temperature, we need dense, healthy green belts. Otherwise, it’s just a waste of water and resources.

🔗 Link to the research: https://www.datastory.org.ua/calgarys-summer-heat-a-2025-satellite-perspective/

#Calgary #UrbanHeatIsland #NDVI #ClimateChange #UrbanPlanning #DataScience #Environment #YYC #BigData #ScienceMatters #GreennessOfCalgary #ClimateOfCalgary #rstats #RemoteSensing #OpenScience

#zaro gets chunk-based read for any store, this a virtualized ocean model bluelink - index depth 40, first time step #RStats https://gist.github.com/mdsumner/95200c550eb1edb1d7adb2a0b87816b8
zaro-chunk-read.md

GitHub Gist: instantly share code, notes, and snippets.

Gist

Wishlist For The #rstats Community

https://kobriendublin.ghost.io/wishlist-for-the-r-community/

N.B. This is a draft, and this is as much about practicing publications with ghost as it is about generating debate

Wishlist for the R Community

Strategic Plan for Strengthening the Global R Community This wishlist is not a complaint, nor a criticism, nor a nostalgic look backward. It is a recognition that the R community has reached a turning point — one that demands clarity, courage, and a willingness to evolve. Over the past decade, our

kobriendublin

First CRAN submission to acceptance: 11 days, three rounds. The first rejection was one missing tag in one documentation file.

#rstats

📊 New recording available!

Less iteration, better charts: rethinking how we create visualizations
Talk by Joseph Barbier at Rome R Users Group

Design first. Code second. Better results.

🎬 Recording & 📝 Blog post: https://romerusersgroup.github.io/content/events/posts/27032026_josephbarbier.html

#RStats #DataViz #DataScience #AI #OpenSource

ggguides — p + legend_inside("topright") replaces 5 lines of legend.position / legend.justification / element_rect boilerplate, returns a theme object, chains with +

#rstats

📊 New recording available!

Less iteration, better charts: rethinking how we create visualizations
Talk by Joseph Barbier at Rome R Users Group

Design first. Code second. Better results.

🎬 Recording and 📝 Blog post: https://romerusersgroup.github.io/content/events/posts/27032026_josephbarbier.html

#RStats #DataViz #DataScience #AI #OpenSource

left_join in R is silent when keys aren't unique. It just multiplies rows. The output has more rows than the input and nothing tells you.

#rstats

[phylotastic] TBRDist 2.0.0

Fast calculation of tree rearrangement distances. For unrooted trees: Subtree Prune and Regraft (SPR), Tree Bisection and Reconnection (TBR), and Replug distances, using the algorithms of Whidden and Matsen (2017) . For rooted trees: rooted SPR (rSPR) distance, using the fixed-parameter algorithms of Whidden, Beiko, and Zeh (2013) .

#rstats

TBRDist (rebuild) · r-universe/phylotastic@f3f2bdc

Source universe for: phylotastic. Contribute to r-universe/phylotastic development by creating an account on GitHub.

GitHub

[phylotastic] TreeSearch 1.8.0.9000

Reconstruct phylogenetic trees from discrete data. Inapplicable character states are handled using the algorithm of Brazeau, Guillerme and Smith (2019) with the "Morphy" library, under equal or implied step weights. Contains a "shiny" user interface for interactive tree search and exploration of results, including character visualization, rogue taxon detection, tree space mapping, and cluster consensus trees (Smith 2022a, b) , . Profile Parsimony (Faith and Trueman, 2001) , Successive Approximations (Farris, 1969) and custom optimality criteria are implemented.

#rstats