Mehmet Göktuğ Öztürk

🌍 Blog series: Spatial Machine Learning with R

From caret to tidymodels, mlr3, and specialized spatial ML packages — explore how spatial context changes the way we build ML models in R.

Start with Part 1 👉 geocompx.org/post/2025/sm...

#RStats #SpatialML #MachineLearning #RSpatial

I'm excited to share a new version of the Air formatter for #rstats, with support for tabular formatting! Super useful with `tibble::tribble()` calls or `data.table::fcase()`.

It's currently experimental as we're looking to get feedback on the feature, so please let us know what you think.

🌍Exploring Sentinel-2 with the Copernicus Data Space Ecosystem (CDSE)?

Hugh Graham’s guide with vrtility in #rstats. Includes authentication & query of imagery and building cloud-free composites.

permian-global-research.github.io/vrtility/art...

#RSpatial #RemoteSensing #EarthObservation #GIS

Starting out with geographic data in Python? 🌍🐍

Chapter 1 of Geocomputation with Python introduces vector & raster models + core tools (geopandas, shapely, rasterio).

👉 https://py.geocompx.org/01-spatial-data

#GeoPython #Python #GISchat

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. 🌸

Processing large rasters using terra package for R: combining tiling and time-series modeling Processing large rasters using terra package for R: combining tiling and time-series modeling

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?...

Introduction to Julia for R users – Nicola Rennie This blog post will give R users an overview of what Julia is and why they might want to use it, introduce some data processing Julia packages, and show how they can incorporate Julia into existing R ...

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.)

Screenshot of the top parts of pages 5 and 6 of 'Getting Started in R - Tinyverse Edition' at https://github.com/eddelbuettel/gsir-te/

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

#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 ⬇️

The book cover

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

This award means a lot to me, and I’m truly grateful to my advisors, @ctavsanoglu.bsky.social and @fire-ecologist.bsky.social, for their invaluable guidance and support throughout this journey.

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/...

Multimodel Approaches Are Not the Best Way to Understand Multifactorial Systems Information-theoretic (IT) and multi-model averaging (MMA) statistical approaches are widely used but suboptimal tools for pursuing a multifactorial approach (also known as the method of multiple work...

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! […]

Functional Programming Tools A complete and consistent functional programming toolkit for R.

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/

A screenshot from the blog post

A screenshot from the blog post

A screenshot from the blog post

A screenshot from the blog post

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

Line chart titled ‘Weekly Runs of RStudio IDE’ showing usage data from 2023 to 2025. The y-axis ranges from 2,000,000 to 6,000,000 weekly runs. The chart displays a cyclical pattern with regular peaks around 5,000,000-6,000,000 runs and dramatic drops to approximately 2,000,000 runs that occur periodically during holiday periods.

Is #rstats dead? I don’t think so.

A possible workflow of the spatial machine learning task.

A screenshot of a part of the blog post

🔍 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

Temporal trends of open-access publications (open publication), open data, and code sharing (open code) between 2010 and 2022. Sample size was 77 papers per year, 1001 total. The lines show trends in each open-science component over time, with dashed lines representing non-significant trends, and solid lines indicating significance. Open data (p = 1.48e-06) and code sharing (p = .00157) increased significantly over time, while open-access publications (p = .926) had no statistically significant relationship.

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

#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

Air, an extremely fast R formatter We are thrilled to announce Air, a new R formatter.

@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...

A screenshot from the website

A screenshot from the website

A screenshot from the website

A screenshot from the website

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