Our Fieldwork in Beytepe🌿 To identify the distribution of Ailanthus altissima, examine its changes over the years, and predict its future dynamics, we carried out fieldwork at Hacettepe University’s Beytepe Campus Together with our intern team, we collected data in the pilot area of our research. 🌸

Had a privilege and pleasure to teach terra pkg (created by @roberthijmans.bsky.social et al.) and spatial sampling with R together with Alexandre Wadoux at the #EOSummerSchool2025 at WICC. You can follow the terra tutorial from here: differ.blog/p/processing... 📹: youtu.be/q9sQkg7BeAc?...

If you're interested in learning #JuliaLang and are currently an #RStats user (or even if you're not!), then here's a little introduction to getting started! 📊 Blog post: nrennie.rbind.io/blog/introdu... #QuartoPub #Julia @tidierjl.bsky.social

I had a blast at #useR2025. Here are my slides on `tinyplot`. grantmcdermott.com/tinyplot/vig... (Rendering of the title slide is a bit off on mobile. I'll fix when when I get sec.)

The "Getting Started in R - Tinyverse Edition" eight-page pdf guide now has a 2nd edition using, appropriately, `tinyplot` as the plotting package. See github.com/eddelbuettel... for more. #rstats

Check out Positron’s Plots Pane! Preview, resize, copy, and save your #Python and #RStats plots directly in your IDE. Never guess what your exported plot will look like ever again 🤩 Learn more about Positron’s layout: positron.posit.co/layout.html#... #Positron

Bias Variance Tradeoff interactive visualization by Jared Wilber & Brent Werness 😃 mlu-explain.github.io/bias-variance/ #dataviz #stats

#rstats polars 1.0.0 is now available! polars provides bindings to the eponymous Rust library, a very efficient dataframe library. This is the outcome of a 1-year long rewrite led by @eitsupi to refactor the internals and match the API of Python polars. pola-rs.github.io/r-polars/ Details ⬇️

Have you read Geocomputation with R?📘 If you found it helpful, we’d really appreciate a quick review — it helps others find the book too! Goodreads: www.goodreads.com/book/show/21... Amazon: www.amazon.com/dp/1032248882 Book: r.geocompx.org #rstats #gis #geocompx #rspatial

I'm thrilled to share some wonderful news with you today! My master’s thesis, “Spatiotemporal Patterns of Lightning-Induced Wildfires in Turkey”, has received the Best Master's Thesis Award from the Ecology and Evolutionary Biology Society of Türkiye - EkoEvo!

🚨 Final part of our Spatial ML with R series ! 🚨 We explore spatial cross-validation with sperrorest & blockCV — tools outside the usual ML frameworks 📦 URL: geocompx.org/post/2025/sm... #rstats #SpatialML #rspatial

"Aspen (Populus tremuloides) slows fire progression: as aspen cover on the landscape increased, daily area burned and linear spread rate decreased." Harris et al. #EcolAppl @esajournals.bsky.social 🧪🌍🔥🌳🪴 #Flammability matters! esajournals.onlinelibrary.wiley.com/doi/10.1002/...

I like this paper too, but (horn-tooting alert) alternatively, consider not doing model selection at all? doi.org/10.3390/e260... (FWIW I do feel a bit bad about publishing in an MDPI special issue [!!] - long story, I agreed to do it and then felt uncomfortable backing out - wouldn't do it again)

New post: https://jcarroll.com.au/2025/06/29/counting-digits-quickly/ What if you could just wave a magic wand over your R #rstast :rstats: code and have it transform into something that ran as fast as or faster than C? @t_kalinowski's {quickr} 'R to Fortran Transpiler' does that for you! […]

Bleeding edge update for the #tidyverse purrr package with even more seamless #rstats parallel maps. Introducing our shiniest new adverb: `in_parallel()`. Just wrap your function to take advantage of blazing fast parallel processing via mirai. pak::pak("tidyverse/purrr") purrr.tidyverse.org/dev/

New blog post: Spatial Machine Learning with tidymodels 🌍🧠📦 This post shows how to apply the tidymodels framework to spatial data workflows in R. Part 3 in a series about #sml. 🔗 geocompx.org/post/2025/sm... #rstats #rspatial #tidymodels #gischat

Spatial prediction meets machine learning with mlr3 💡🌍 This blog post by Marvin Ludwig also includes tips on autocorrelation, extrapolation & more. 🔗 geocompx.org/post/2025/sm... #mlr3 #rstats #gischat #rspatial

Is #rstats dead? I don’t think so.

🔍 Interested in spatial machine learning with R?🌍 We compare caret, tidymodels, and mlr3 for spatial tasks — and show how their workflows differ. Read it here: geocompx.org/post/2025/sm... #MachineLearning #SpatialAnalysis #RStats #rspatial

Actual code sharing remains terribly low in ecology (source: doi.org/10.1002/ece3...)

What advice do folks have for organising projects that will be deployed to production? How do you organise your directories? What do you do if you're deploying multiple "things" (e.g. an app and an api) from the same project?

Thank you to everyone who has already supported our work on open-source spatial analysis resources like Geocomputation with R/Python! 🙏🌍 If you’ve found our books helpful, consider supporting future updates and free resources: buff.ly/3OMFPUU #rstat#rstats #rspatial #geopython #geocompx

Wildfires have always been a natural part of ecosystems, even before human activities made them more frequent and severe. Lightning-driven fire regimes are a prime example, as seen here in Marmaris, southwestern Türkiye—the region with the highest occurrence of lightning-induced fires in the country

@lionelhenry.bsky.social and I are so excited to finally announce Air - an extremely fast R code formatter! 🎉 With Air, you'll never need to worry about styling your #rstats code ever again. All you need to do is save, and Air takes care of the rest. www.tidyverse.org/blog/2025/02...

Aditya Dahiya is documenting his journey through Geocomputation with R with detailed summaries, tables, and maps—often adding fresh insights along the way. 🌍📚 Highly recommended! Explore his work here: https://buff.ly/42rnAg4 #geocompx #rspatial #gischat

🎉 The "Geocomputation with Python" book has been officially published today! Dive into the world of spatial analysis and geospatial data with Python. 📖🐍 Book's website: https://buff.ly/3NK2uBq #geocompx #geopython #spatialanalysis

Introducing {wbw}, a new geospatial powerhouse in the R ecosystem by Anatolii Tsyplenkov! 🌍⚡ {wbw} provides a fast & powerful library for hydrology, geomorphometry, remote sensing, and more (raster, vector, LiDAR). Check it out: https://buff.ly/4gaWbCe #rspatial #rstats #geocompx #GIS

🌍 Excited to share the 1st edition of Geocomputation with Python is complete! 📖 Learn geospatial with Python. Read it online: https://buff.ly/3NK2uBq Get the book: https://buff.ly/42t4dD7 Blog post: https://buff.ly/42s5fiN Open-source + community-driven! #geocompx #geopython #GIS #SpatialData

I often use the functions from the "constructive" package for this purpose! github.com/cynkra/const...

Something I find useful from base #R is the dput command. When I have an object but I want to recreate it and copy into my script I chuck it into dput and it gives me the code that could be used to create it. #Rstats #Datascience

Nice article in Science about the great migration & efforts to recreate the experience of old Twitter on @bsky.app. A good one to share with those who haven't yet joined us here. www.science.org/content/arti...