Also had lots of requests for this one: a population density map of India. This was by far the longest render.
Well, except for furry France, which still holds the record.
#rayshader adventures, an #rstats tale
terence t
@researchremora
smitten with R · associate prof · political economy
the rayverseJoined November 2012
terence t’s Tweets
Lots of requests for Portugal so here's one. The outlying islands will come in a later version; need to think about and experiment with layout but didn't want to delay sharing any longer.
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A forest cover map of Canada. I rather like how this turned out.
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A population density map of long, slinky Chile. Took a bit of time to find an angle I like.
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Had a good number of requests for Colombia, so here it is! I hope I got the labels right. Put off labelling the map because I wasn't sure I could do it. 😅 As always, do let me know if I made a mistake.
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A good number of requests for a population density map of Pakistan so here's one!
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Staying in Western Europe for a bit with a population density map of Germany.
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And as requested via DM, here's a population density map of Perú. Am unsure about the labels—I think they are correct but it's hard for me to tell. Would label Trujillo but there are too many spikes and I don't want to get it wrong. 😋
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A population density map of Switzerland. I quite like how this turned out.
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How about clouds over a population density map of Switzerland? Oh, and it's spinning too. 😎
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A population density map of Brasil for the last day of the year. May the new year bring joy and adventure in equal measure! 🎇
And more rayverse updates. 😎
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I've gotten a number of requests for México. I've refrained from sharing because there seems to be an error in the data that I'm unable to fix. See the spike in what I think is Monterrey—is that right? It's present in both datasets I tried.
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As requested over DM, today's population density map is the Netherlands. Lots of labels here so I hope they're all correct!
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3D oblique it is! 😎 Here's a population density map of Taiwan.
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Replying to @researchremora
Left! 3D oblique view is the winner!
A population density map of beautiful France. I fondly remember the train stopping at the French border while travelling from Italy, taking a bus to Nice, renting a car/driving to Marseille, Montpellier, Perpignan, and finally Barcelona.
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This evening's population density map is Belgium. If I make another error in this map, I'll stick to capital cities in future ones. And if I still make errors, then...then...I won't label anything ever.
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For this evening, a population density map of Ireland revisited with 2022 data.
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Back to the Middle East with a population density map of Saudi Arabia.
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Okay, here goes nothing—a population density map of England. It is after all #rayshader triple Thursday. I have an urge to label everything but who knows, I might already have made mistakes.
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One more for the evening: a population density map of the Czech Republic, which was sitting in my drafts for a while. Am trying to be more organised about sharing; should have thought about it from the beginning. 😋
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One more for Christmas Eve plus it's freezing out—a population density map of Norway.
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Had a few requests for a population density map of the Philippines so here's one. I think I prefer the palette for the other Southeast Asian countries; did this earlier and wanted to try something different.
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At a rest stop with a couple more hours to go, so here's a population density map of Thailand. I've neglected to mention that is the data source I use for all my population density maps but not anymore!
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This semester, Wednesday is #rayshader day so here's a population density map of the world. This is at 30 arc-second (~ 1km) resolution; not sure if raymachine can handle 400m. Will find out as soon as the data loads...😋
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This morning's population density map is Vietnam. Had trouble finding fonts I like with Vietnamese glyphs—any suggestions? Also thinking my initial sideways perspective might be better to distinguish between Hanoi and Ho Chi Minh City.
#rayshader adventures, an #rstats tale
Finally decided to sit down and relabel this population density map of Brasil based on feedback. Also decided to label as many cities as I could. 😋
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A population density map of Brasil for the last day of the year. May the new year bring joy and adventure in equal measure!
And more rayverse updates.
#rayshader adventures, an #rstats tale
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Power's out so raymachine gets a much-needed break. Fortunately (or not), I've a store of population density maps so here's one of Italy.
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Back to the #rayverse with a population density map of Egypt.
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Inspired by ' comparative population density map of St. Louis and Milwaukee, I thought I'd try a comparative population density map of Paris and London. Thoughts, suggestions?
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Tuesday is #rayverse day, so here's something I'm experimenting with. I've done a number of population density maps of Japan but not like this. Thoughts, suggestions? Should the insets be oblique 3D? Would greatly appreciate feedback!
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Trying to stay geographically organised with a population density map of Bangladesh.
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A population density map of Indonesia for the evening. Need to think of better ways to present the sprawling archipelago. In related but not terribly surprising news, render time increases with population.
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Day 8 of #30DayMapChallenge: OpenStreetMap. Here's a map of Hiroshima, Japan, showing rivers, roads, and buildings. Ran out of my self-allotted time so this will have to do.
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Day 20 of #30DayMapChallenge: My favourite... Shaded relief maps of Africa (left) and South America (right).
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A population density map of Australia (minus outlying islands). The strange tall spikes stopped me from sharing sooner but I can't figure out why. If I lower the resolution, they go away. 🤔
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A population density map of Ecuador for the evening. Thanks for prompting me. Did I go overboard with the labels? 😅 Hope I didn't make any mistakes!
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This morning's population density map is Spain minus las Islas Canarias. Had to fix an error with La Coruña because the data showed its population density to be the highest in Spain, which has to be wrong, no?
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Well, it looks like I'm doing 2019 forest cover now so here's a forest cover map of Brazil (using 2019 data).
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Staying in South Asia for the evening with a population density map of Sri Lanka.
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A forest cover map of Chile using 2019 data. Fonts courtesy of the inimitable , whose post on Émile Cheysson almost made me want to learn ArcGIS.
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A population density map of the United Kingdom. A tad late, considering I've maps for Scotland, Wales, and England, but here it is now.
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A population density map of Greece for this Boxing Day. Noticed the peaks are tilted and I'm not sure how that happened; could be the camera angle. 😅
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Been seeing an older population density map of the sovereign state of Ukraine I shared so I thought I'd render another one with updated (2022) data.
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Starting the year off with a population density map of Chile (minus some outlying islands) revisited. Hope this dataset corrects the errors in the previous one. Not going to try to label the cities. 😅
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And we're back in Europe with a population density map of Denmark.
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A population density map of China. Tried a number of variations (e.g. only large cities) but settled on showing everything (a mistake?). By far the hardest map to label so do let me know if I made any errors.
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But I shan't, so here's a forest cover map of Iberia using 2019 data instead.
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This afternoon's elevation map is El Salvador. See, I'm focused now! Look at all those volcanoes! 🌋
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In #rayshader news and to keep the streak going, here's a population density map of Romania.
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Day 24 of #30DayMapChallenge: Fantasy. A shaded relief map of Middle-Earth showing Frodo's journey to Mount Doom. I did a spinning version of this last year but now comes the hi-res rendition.
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Received a few requests for a population density map of Croatia, so here it is!
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Day 5 of #30DayMapChallenge: Ukraine. Here's a population density map of Ukraine.
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And since it's #rayshader Tuesday, here's a population density map of Kenya. In other news, this map of India is taking forever...
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A revised population density map of Ireland given feedback. This took a bit more work—had to merge data and what not—but I hope I did it correctly. 😅
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Thanks to , I learned that I was wrong and the data is right. Sorry, La Coruña! So here's a corrected population density map of Spain. One more that includes las Islas Canarias is forthcoming.
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Replying to @researchremora and @onlmaps
It's correct. The population density in some areas of Coruña is even higher than in cities such as Shanghai or London.
You can read more specific details here (sorry, it's in Spanish but your browser can translate):
laopinioncoruna.es/coruna/2021/10
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Inspired by and , I thought I'd try a hand at forest maps so here's one of Japan, which took hours/many failed tries. Also got upset along the way that so few functions use multiple cores.
Should I continue?
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It's #rayshader Wednesday so here's another population density map. This time, it's New Zealand minus the outlying islands to keep things compact.
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Had planned to share Latvia and Lithuania (ya know, to keep things, uh, organised) but realised they were somehow rotated 90 degrees. 😱 So here's a population density map of Cambodia while I re-render them.
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A population density map of the conterminous United States of America. Fonts by , data from .
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This morning's population density map is Morocco. Does anyone know where the two spikes in the bottom left are? I had trouble figuring them out.
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Okay, back to Eastern Europe with a population density map of Latvia for the evening.
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Thanks to and , here's an updated population density map of the Netherlands with the correct spelling of Arnhem and Den Haag, and more labels!
If it's one thing I know as an academic, it's revise and resubmit.
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As requested over DM, today's population density map is the Netherlands. Lots of labels here so I hope they're all correct!
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Going big before continuing with individual countries with a population density map of Africa. Looks like I'll have to add outlines to a number of them.
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Today's population density map is Argentina. Am tempted to say something about the greatest footballer of all time but I don't want to get into that debate. ;)
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One more for #rayshader Thursday: a population density map of Hungary.
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After 12 hours, which is the longest `render_highquality` has ever taken for a single render, I get what's supposed to be a map of fixed broadband internet download speeds for France. Except it looks like fur.
Clearly needs work.
#rayshader misadventures, an #rstats tale
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A population density map of Argentina revisited, this time with 2022 data. Land of the greatest footballer and World Cup 2022 champions. ⚽️ 😎
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Today's population density map is Argentina. Am tempted to say something about the greatest footballer of all time but I don't want to get into that debate. ;)
#rayshader adventures, an #rstats tale
Day 3 of #30DayMapChallenge: Polygon. Had to scrap my plans for today's prompt. Kid's sick and I only had a bit of time to render this map showing the tectonic plates around Antarctica. Not perfect but it will have to do.
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Still on the topic of climate, I thought I'd play with hugely influential climate stripes. May be a mistake but here are two stairways showing global average surface temp anomalies from 1850 to 2023.
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Replying to
A pop. density map of Germany, take two, with apologies to Stuttgart for the misspelling. It's some sort of curse: either I misspell a city or mislabel a city. I should stick to capital cities. Thanks for pointing it out.
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A population density map of Bulgaria for this wintry morning.
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Back to population density maps with one of Pakistan. Thanks for the suggestion!
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Population within 20 km of Japan's Tōkaidō Shinkansen, the world's first high-speed rail line. I swear every time I share something, I get new ideas I wish I'd implemented.
But I need to fix the spelling error in my Germany map first.
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Day 13 of #30DayMapChallenge: Five Minute Map. Population density of Japan.
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A map showing the population density within 20km of the River Ganga.
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Today's shaded relief map is South Africa. Turns out it wasn't #raymachine, it just takes an awfully long time—hours—to render. 😅
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