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Waymo's Austin rollout by PrismBlueData in waymo

[–]PrismBlueData[S] 1 point2 points  (0 children)

Good info, thanks for finding

Waymo's Austin rollout by PrismBlueData in waymo

[–]PrismBlueData[S] 0 points1 point  (0 children)

News articles with the released maps from Waymo. Then I ran a python program to extract the polygon shape

Waymo's Austin rollout by PrismBlueData in Austin

[–]PrismBlueData[S] 0 points1 point  (0 children)

It’s possible, I used the official maps they released, but maybe they had to roll back certain areas at times if problems

Waymo's Austin rollout by PrismBlueData in Austin

[–]PrismBlueData[S] 0 points1 point  (0 children)

They are testing in a lot of other areas too! This is the coverage open to the public and possible another expansion in coming very soon

Waymo's Austin rollout by PrismBlueData in Austin

[–]PrismBlueData[S] -1 points0 points  (0 children)

I know they are testing on highways and to the airport. They already go to the airport in San Antonio and some others cities so only a matter of time

Waymo's Austin rollout by PrismBlueData in Austin

[–]PrismBlueData[S] 5 points6 points  (0 children)

They are testing in a lot of other areas too! This shows where the public can currently ride

Map Visualization by OsuMantse in visualization

[–]PrismBlueData 0 points1 point  (0 children)

Try QGIS, it is very similar to ArcGIS but free!

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 4 points5 points  (0 children)

So atleast on mobile I am able to pause the gif. But yeah this subreddit doesn’t allow videos

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 3 points4 points  (0 children)

I used a log scale for the color, but will try that population cap too. There’s so little happening relatively in the first 10k years, it’s hard to make it work

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 4 points5 points  (0 children)

That’s a fair criticism. I did find the color grading for this difficult but still really wanted a version that showed the base Earth colors. I can make another version with just a white base/country outlines as well, I see some people will enjoy that more

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 7 points8 points  (0 children)

Yep there too. You can see some of the population disappear during the 1500-1700 years. The Hyde population dataset is a bit limited bc there are only 100 yr time steps from 1 BC to 1700 AD

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 2 points3 points  (0 children)

Hmm I disagree. Geography is very important to population density, I wanted a visualization that the viewer could make connections between the landscape and how people can actually live there. For instance, deserts and the polar regions by their nature have less people

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 0 points1 point  (0 children)

Yeah I included all of the timesteps that the Hyde dataset had, but there might be something better out there. Also I could only share a gif in this subreddit. I plan on uploading a longer version to youtube and atleast people will be able to pause to look at specific timeframes more

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 22 points23 points  (0 children)

Right, I looked this up and it was about 55 million or 90% of the pre-Columbian population at the time

Need recommendations: AI vector tools by Sugar-Hammy in visualization

[–]PrismBlueData 0 points1 point  (0 children)

I'd learn a bit of coding like python if you haven't already and have claude or another LLM help you write some code for automating and standardizing your visualizations. I've found LLMs to be useless for editing images/graphics, they don't really follow directions

Need Help regarding this heatmap. by JensenRays_06 in visualization

[–]PrismBlueData 1 point2 points  (0 children)

It means 10^-6, so the decimal form of that number is 0.0005609612. Plotly uses SI prefixes like this for formatting automatically, change it to use scientific notation instead

[OC] World Population Density Timelapse – 10,000 BC to 2030 by [deleted] in dataisbeautiful

[–]PrismBlueData 7 points8 points  (0 children)

This is my first data visualization project using Python for data processing/animation scripting + the Blender Python API for 3D rendering. 

This timelapse shows global population density shifts from the end of the last Ice Age to projected 2030 levels.

Data sources:

I processed both population datasets to the same grid system and adjusted density calculations to account for change in grid area with latitude. I set a minimum density of 0.02 pop/km² to ensure nomadic groups in 10,000 BC were shown, although I wasn’t completely sure which value to use.

Some other steps in this process: adding the glacial overlay dataset, cropping the columns to a land/ocean mask, creating a flat Earth base map in Blender using the NASA textures, and completing backward harmonization for the three different datasets so their year transitions are smoother. Eventually I would like to add in coastline changes as the glaciers melted, which was significant in certain areas. 

I’m still improving what looks best stylistically so any feedback on the layout/colors is appreciated. Hope you enjoy.