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jumpingrivers
Jumping Rivers @jumpingrivers@fosstodon.org · Aug 04, 2026
Positron is Posit’s newer IDE for data science, built for R and Python. Posit Assistant brings AI into the workflow. Join Kia Mack on 13 August for live demos comparing Positron with RStudio and testing Posit Assistant on everyday data science tasks. See where the tools help, where they get in the way, and whether they belong in your workflow. 🕐 1:15pm UK time 💻 Free and online Register: https://jumpingrivers.typeform.com/to/UmdyNbAs #RStats #Python #Posit
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datastory
Eugene @datastory@mstdn.ca · Aug 02, 2026
🛠 What does an end-to-end open-source stack look like for an independent hydrogeochemical monograph? Doing full-cycle research—from thermodynamic calculations to print-ready LaTeX typesetting—requires a synchronized toolkit. Here is the exact stack: 🧪 Thermodynamics & Analytics: • #PHREEQC 3.7.3 for aqueous speciation&equilibrium modeling. • #Rstats Stack: RedModRphree, ggtern, sf/terra, tidyverse (ETL). 🗺 GIS & Literature Search: • #QGIS for spatial alignment & cartography. • #Recoll for local full-text search across reference databases. 📚 Typesetting & Reproducibility: • #LaTeX2e + #TeXStudio + #JabRef for typography & #BibTeX references. • xtable for automated R-to-LaTeX data exporting. • #Debian Linux as a main engine. 💡 Takeaway: Zero proprietary software licenses needed. Complete reproducibility from raw analytical data to a print-ready PDF. 🔗 The published version of monoghraph is here: https://zenodo.org/records/20709306 #Hydrogeology #Geochemistry #LaTeX #GIS #OpenScience #DataScience #SvystunovaGully
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emxn
Embraline @emxn@mstdn.isometry.group · Jul 29, 2026
#rstats might be the wrong place for this but I'll ask anyways. Would creating an R package (with an acompanying publication) for the analysis and research of an underdeveloped medical technology be a good masters thesis project? I've worked on a few research projects related to a specific lung measurement technology which has little to no R support so a lot of analysis I've had to program on my own. There's also very few resources on what statistics are well suited to the tech. Boosts welcome
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datastory
Eugene @datastory@mstdn.ca · Jul 28, 2026
📉 Comparing the Solid-to-Tree Ratio with the Land Surface Temperature (LST) data obtained in the previous phase of the study allows for a visual assessment of the relationship between surface sealing and summer surface heating across Calgary’s residential communities. 🔥 The plot reveals a strong pattern for the vast majority of communities: a sharp increase in temperature occurs within the ratio range of 0 to 5. The Downtown Commercial Core stands out as a distinct outlier, where low LST values are driven by deep geometric shading from high-rise buildings. Additionally, neighborhoods such as Manchester, Seton, Redstone, Beltline, and Rangeview, among a few others, slightly diverge from the main trend. 📊 Full methodology and additional charts via the link:👇 https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #Calgary #OpenData #UrbanHeat #DataScience #ClimateResilience #YYC #Geoscience #CityPlanning #RemoteSensing #RStats #MachineLearning #GreennessOfCalgary
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datastory
Eugene @datastory@mstdn.ca · Jul 27, 2026
Which Calgary neighborhoods are best built to withstand summer heatwaves? 🌳☀️ To measure structural climate resilience across the city, I conducted a spatial analysis of 193 established residential communities, calculating the Solid-to-Tree Ratio—comparing bare artificial surfaces (asphalt, concrete, rooftops) directly against total tree canopy area. Here are the Top 10 most shade-rich and climate-resilient communities in Calgary: 🟢 Queens Park Village — 0.3 (Just 0.3 ha of hard surface for every 1 ha of canopy!) 🟢 Discovery Ridge — 0.5 🟢 Roxboro — 0.5 🟢 Wildwood — 0.6 🟢 Rideau Park — 0.7 🟢 Medicine Hill — 0.8 🟢 Upper Mount Royal — 0.8 🟢 Crestmont — 0.9 🟢 Elbow Park — 0.9 🟢 Shaganappi — 0.9 👇 The full interactive dataset and study are here: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #UrbanAnalytics #GeospatialData #RemoteSensing #GIS #UrbanForestry #CityPlanning #Calgary #DataScience #Microclimate #MachineLearning #GreennessOfCalgary #RStats #FOSSGIS
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nowosad
Jakub Nowosad @nowosad@fosstodon.org · Jul 22, 2026
A resource from Jérôme Guélat for anyone working with spatial data in R. *Spatial Data Processing with R* combines GIS fundamentals with practical, reusable workflows for analysis and map making. 🗺️ https://jguelat.github.io/spatial-r/ #rspatial #rstats #SpatialAnalysis #OpenSource
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ojala
Luis Apiolaza @ojala@mastodon.nz · Jul 24, 2026
My approach to #rstats environments: once a year or once every year-and-a-half I install a new version of R, so I install all the packages again. That's my new environment.
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datastory
Eugene @datastory@mstdn.ca · Jul 23, 2026
🔥 Top 10 Calgary Communities with the Highest "Shade Deficit" To measure structural heat risks, I calculated the Solid-to-Tree Ratio—the ratio of bare artificial surfaces (asphalt, concrete, roofs) to total tree canopy area. A higher ratio means more heat-retaining concrete and less natural cooling. Here are the 10 most shade-deficient residential communities in Calgary: 🔹 Downtown Commercial Core — 56.2 (56.2 ha of hard surfaces for every 1 ha of trees) 🔹 Beltline — 24.6 🔹 Redstone — 23.8 🔹 Seton — 20.8 🔹 Manchester — 17.7 🔹 Rangeview — 16.8 🔹 Symons Valley Ranch — 16.0 🔹 Lower Mount Royal — 13.9 🔹 Country Hills Village — 13.2 🔹 Martindale — 12.4 An interactive lookup table featuring area metrics and ratios for all 193 established Calgary residential communities is available via the link: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #YYC #Calgary #CalgaryRealEstate #UrbanForestry #CityPlanning #RemoteSensing #YycLiving #GreennessOfCalgary #MachineLearning #RStats #Alberta #Canada
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datastory
Eugene @datastory@mstdn.ca · Jul 21, 2026
🌳 Is Calgary actually as green as it looks? While open lawns (28.6% citywide) give Calgary a visual "green appearance", dry summer conditions quickly strip unirrigated grass of its cooling capacity. Meanwhile, true cooling infrastructure — dense and sparse tree canopy — accounts for only ~17%. To quantify structural heat risks, I introduced the Solid-to-Tree Ratio index across 193 residential communities: 🔹 Critical Deficit: Downtown Core (56.2) and Beltline (24.6), where hard surfaces outnumber tree canopy by tens of times. 🔹 Suburban Pressure: New communities like Redstone (23.8) and Seton (20.8) feature high-density lots with minimal mature shade. 🔹 Ecological Buffers: River valley communities like Discovery Ridge (0.5) and Wildwood (0.6), where canopy exceeds concrete. 👇 Link to the full study and interactive dataset: https://www.datastory.org.ua/calgarys-microclimatic-anatomy-what-lies-beneath-the-citys-green-appearance/ #Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Alberta #Canada
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Posit
Posit @Posit@fosstodon.org · Jul 21, 2026
tidyclust 0.3.0 is out! 🎈 Three new clustering algorithms (DBSCAN, Gaussian mixtures, mean shift) plus native tidymodels integration for #RStats users. Learn more: https://opensource.posit.co/blog/2026-06-15_tidyclust-0-3-0/
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datastory
Eugene @datastory@mstdn.ca · Jul 20, 2026
🌳 Quantifying Calgary’s Microclimatic Imbalance: The Solid-to-Tree Ratio To evaluate the structural heat load across Calgary's communities, I calculated the ratio of high-thermal artificial surfaces to cooling tree canopy: Solid / (Park + Forest), based on my 2025 satellite land cover model (LULC v6.0). Why this ratio matters: 🔹 Thermal Stress Indicator: It measures how many square meters of heat-absorbing surfaces (asphalt, concrete, roofs, bare soil) exist for every square meter of tree canopy. 🔹 Spatial Inequality: While mature western neighborhoods maintain ratios between 1.5 and 4, eastern and peripheral zones reach values from 10 to over 50. 🔹 Evidence-Based Planning: It moves the discussion from generic averages to identifying exact spatial boundaries where microclimatic mitigation is most needed. Note: The map uses a logarithmic scale. #Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #Sentinel1 #Sentinel2
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defuneste
Olivier Leroy @defuneste@fosstodon.org · Jul 20, 2026
#podcast commute! Super great episode of test set with Joe Cheng: https://posit.co/thetestset/episode/curiosity-duty-and-existential-dread-with-joe-cheng Grumpy take: this is not only managers or "lead" that are "gapfilling"😉 Really appreciate that Joe is sharing his ethical concerns about LLM and his tough process (I might disagree but it is refreshing that is not dodging it). To me it is not weird that Hadley trust more Claude in base R than himself. Would he have build a dialect if he did not? this episode is in my test set podium. #rstats
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datastory
Eugene @datastory@mstdn.ca · Jul 20, 2026
📊 Beyond Averages: Spatial Heterogeneity in Calgary (LULC v6.0) Averages mask reality. To capture ecological stratification across Calgary's residential communities (excl. major parks/building-out and industrial zones), I combined Violin + Box Plots: 🔹 Solid (Impervious): Median ~67% (IQR 55–74%). High-thermal non-vegetated surfaces are a systemic structural feature across nearly all neighborhoods. 🔹 Park vs. Lawn (Canopy vs. Turf): Park median (~20%) doubles Lawn (~10%). A long upper tail (>50%) highlights spatial inequality in tree cover. 🔹 Forest & Water: Near 0% for 95% of communities, but sharp needles (up to 25% forest, 16% water) mark outliers with lakes or remnant woods. 💡 Takeaway: Calgary isn't homogenous—microclimatic comfort heavily depends on geographic boundaries. Full analysis coming soon: https://www.datastory.org.ua/ #Calgary #YYC #DataScience #GIS #RStats #RemoteSensing #UrbanHeat #DataViz #SpatialAnalysis #MachineLearning #GreennessOfCalgary #FOSSGIS #OpenData #OpenSource #TreeEquity
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olyerickson
John S. Erickson 🙏 @olyerickson@mastodon.social · Jul 18, 2026
#Rstats-powered #Wordle brag (1855) Hover or focus to reveal Sensitive
WordleR, the #Rstats-powered #Wordle Helper, was "magnificent" today! Wordle 1,855 2/6 ⬛⬛⬛🟩🟨 🟩🟩🟩🟩🟩 http://bit.ly/WordleR
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ansate
Melissa Santos @ansate@social.coop · Jul 17, 2026
ok #Rstats i have some questions. yes, i have been under a rock for a long time. what is a tibble? why is a tibble not just a dataframe? i honestly want you to tell me all about it
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olyerickson
John S. Erickson 🙏 @olyerickson@mastodon.social · Jul 17, 2026
#Rstats-powered #Wordle brag (1854) Hover or focus to reveal Sensitive
WordleR, the #Rstats-powered #Wordle Helper, was "magnificent" today! Wordle 1,854 2/6 ⬛🟩🟨⬛⬛ 🟩🟩🟩🟩🟩 http://bit.ly/WordleR
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hrbrmstr
hrbrmstr 🇺🇦 🇬🇱 🇨🇦🇧🇪 @hrbrmstr@mastodon.social · Jul 17, 2026
The always awesome @coatless@mastodon.social dropped {livelink} for #RStats and it is pretty darned spiffy. It turns R code into a URL that runs in the browser, with no server and nothing to upload. It covers webR for a full R REPL and Shinylive for R and Python Shiny apps, packs the code into the link itself, and reads any link back into files. https://blog.thecoatlessprofessor.com/software-releases/r/livelink/livelink-v0.1.0-released/
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