Forest canopy height of Zion National Park, Utah. #rayshader adventures, an #rstats tale

#30DayMapChallenge · Day 8 · Urban. Global urban areas. #rayshader adventures, an #rstats tale

Day 6 of the #30DayMapChallenge (3D), a render of Mount Rainier with a realistic atmospheric skydome generated w/ a lat/long/datetime, rendered entirely in #RStats with #rayshader and #rayrender! The atmosphere is annoyingly realistic: I now have to dial in the exposure depending on the time of day!

Tree canopy height of Paris, France. Have given up on #30DayMapChallenge. #rayshader adventures, an #rstats tale

Forgot to share this extra one for #30DayMapChallenge · Day 2 · Lines last night. Population density ridgelines. #ggplot2 adventures, an #rstats tale

#30DayMapChallenge · Day 2 · Lines. Bathymetry of the Atlantic Ocean as illuminated contours. #rayshader adventures, an #rstats tale

Forest canopy height of Grand Teton National Park, Wyoming. #rayshader adventures, an #rstats tale

#30daymapchallenge | Day 1 Points | Fall Foliage 🍁 We're at the tail end of autumn leaf color here in Madison. Here's a quick pair of maps to help you hunt down the most prevalent street trees that show off in vibrant yellows vs the less common but spectacular oranges and reds this time of year!

Day 1 - Points Rhode Island Lighthouses Most of my maps will be about Rhode Island. A good way for me to learn about a place (and find datasets) is to try to create a map of a thing. #30DayMapChallenge

Tree height map of Montréal. See the blank space without any trees in the middle? If you aren't from Montréal, what do you think that is? :) #rayshader adventures, an #rstats tale

Debated whether I should participate this year—a crisis of confidence and purpose and all that—but here I am again. #30DayMapChallenge · Day 1 · Points: Threats to global shipping as measured by anti-shipping activity messages. #rayshader adventures, an #rstats tale

Happy #rayrender Halloween indeed! @tterence.bsky.social inspired me to whip up an animation: a pumpkin made entirely in rayrender! (CSG for the carved pumpkin, extruded path stem, cyl + sphere candle, and r_obj eyes) Also, denoising made the below animation render in <3 minutes! #RStats

#30DayMapChallenge Day 1 - Points Elevation of populated places in the Greater Tokyo Area

A happy #rayrender Halloween to all who celebrate! #rayrender adventures, an #rstats tale

Crater Lake National Park, Oregon. #rayshader adventures, an #rstats tale

Continuing with forest canopy heights, here's one of Switzerland. #rayshader adventures, an #rstats tale

Forest canopy height of Yosemite National Park. #rayshader adventures, an #rstats tale

Forest canopy height of beautiful Shikotsu-Toya National Park, Hokkaido. I rather like how the mountains look like holes and are distinguishable from the lakes by looking at the way the canopy height changes. #rayshader adventures, an #rstats tale

Somewhere in the Andaman Sea. #rayshader adventures, an #rstats tale

Bathymetry of the Laccadive Sea. #rayshader adventures, an #rstats tale

This is the second year that I’m teaching a short session on Open Science and Reproducibility with Quarto, GitHub, and R for students in the European Doctoral School of Demography (EDSD) program (by @mpidr.bsky.social, @ined.bsky.social, @eaps.bsky.social). Materials: www.ekotov.pro/2025-EDSD-op...

A visualisation of forest canopy height in Shiretoko National Park, Hokkaido, two ways. Which do you prefer? I can never decide. What I can say is that Shiretoko is beautiful. And windy. And the sika are unafraid. Also, hot waterfalls. #rayshader adventures, an #rstats tale

A visualisation of the wine regions of New Zealand three ways. #rayshader adventures, an #rstats tale

Shiretoko National Park, Hokkaidō. In lines. #ggplot2 adventures, an #rstats tale

A visualisation of the wine regions of Spain. #rayshader adventures, an #rstats tale

Hive mind, please help me out! I need a more informative and explicit subtitle for my upcoming #RStats book "Model to Meaning" The premise is that analysts should often transform coefficient estimates into more meaningful / interpretable quantities like predictions, risk differences, slopes, etc.

I’ve long used FiveThirtyEight’s interactive “Hack Your Way To Scientific Glory” to illustrate the idea of p-hacking when I teach statistics. But ABC/Disney killed the site earlier this month :( So I made my own with #rstats and Observable and #QuartoPub ! stats.andrewheiss.com/hack-your-way/

Excited to announce my hands-on & in person workshop: "Introduction to 3D maps and data visualisation with Blender". You will learn how to create memorable 3D visualisations that stand out. #dataviz Register here: lu.ma/gtg2elht

Retro world map. #rayshader adventures, an #rstats tale

I've been working on a history of the tidyverse for an upcoming special issue of the Australia/New Zealand Journal of Statistics celebrating 25 years of R. I'd love to get your feedback! What have I missed? hadley.github.io/25-tidyverse... #rstats

Mines of India. #rayshader adventures, an #rstats tale

Mines of the Americas. #rayshader adventures, an #rstats tale

The data at USAID's ForeignAssistance dot gov was removed over the weekend, but it seems to be back (for now). As a backup, I've uploaded the data both as static CSV files and a queryable API - Details: andrewheiss.github.io/foreignassis... - API: foreignassistance-data.andrewheiss.com

A reminder that {modelsummary}, {tinytable}, and {marginaleffects} are Canadian so if you're an American researcher, you'll have to increase your citations of those #rstats packages by 25%, err, next month.

You know what I haven't done in almost 900 days? A livestream! Join me on YouTube on January 31st at 2pm Central (UTC - 6), where I'll walk through / break down some monochrome maps I made for a forthcoming book. (And I'll try to remember how live streaming works). youtube.com/live/KK5rayw...

a bit more #Severance data please enjoy all analyses equally 👉 lucymcgowan.github.io/mdr-website/ and for my #rstats friends: 👉 lucymcgowan.github.io/mdr/

Faros de Canarias. #rayshader adventures, an #rstats tale

Illuminated contours of the Gulf of México. #rayshader adventures, an #rstats tale

Happy Lunar New Year! #rayrender adventures, an #rstats tale

How do autocrats stay in power? Our new research dives into the strategies of political control—repression, co-optation, and indoctrination—used across 229 autocracies from 1946 to 2010. What we found will change the way you think about authoritarian resilience. 🧵👇

Hi I'm Helen and I don't know how Bluesky works! I'll be sharing maps & dataviz that I make and love - as well as tutorials on how to recreate them! These will likely be interspersed with photos of my enormous cat and/or lunch.

Salty dude from ESRI uses popularity to judge the utility of tools. Also fails my freshman methods course with what he thinks science is (hint: it ain't because you use hard objects like pipettes and calipers). Half-baked trolling attempt; 1.5 out of 5.

#rstats and #QuartoPub PSA: @vincentab.bsky.social's {tinytable} is the absolute best table making package out there for LaTeX output (it natively supports tabularray!), and it's phenomenal for HTML. It has fully replaced {gt} and {kableExtra} for me vincentarelbundock.github.io/tinytable/

Killington Ski Resort. #rayshader adventures, an #rstats tale

I genuinely do not understand what this is like but it sounds rough. Not having to deal with this is a perk of an utter nobody like myself. He gets ~20 emails an hour; I get less than that a week, almost all of which are campus announcements and the like.

I have now also ported the color vision deficiency simulation app to Shiny live. Advantage is this runs entirely in your browser, even though you "upload" the image it never leaves your computer.

Okay, this is it for the evening. Will keep working on it but I need to think of something else to do to keep myself motivated. Here's Jiminy Peak Resort, Hancock, Massachusetts. Thoughts/suggestions welcome! #rayshader adventures, an #rstats tale

Apparently the area around Breckenridge has over 9 million trees. Killington? 6 million. Time it will take to render them? Days. Path traced? No chance since the 300,000 trees I've been working on all day consumes 80GB of memory. Where's the result? None. It's been failure after failure today

Any {lidR} experts know how to remove artifacts from data? I have huge random spikes I can't seem to remove. Would normalize_height work? #rstats #geospatial

Some years ago I wrote a simple R app to explore colors in HCL space. While it's clunky, it still is my preferred way of selecting colors, because it offers features other color selectors don't normally have. Today, thanks to shinylive, the app is available standalone. 🧵