[OC] Latitude, Longitude, and Humanity: Mapping Global Population Distribution

I saw an old picture at very low resolution on a Facebook post and thought I might be able to reproduce it with new data and some Python data viz. It's quite fascinating to see how most of humanity is concentrated in a rather close-by quadrant.

Data source: Global Human Settlement population projection grid for 2025 1km resolution.

Tools: Python. xarray library for the data wrangling and plotnine for the visualization.

Code source: Python code to reproduce the data source download, wrangling and plotting in:

Jupyter notebook, GitHub.
Quarto Post, my blog.

by fontalovic

[OC] Latitude, Longitude, and Humanity: Mapping Global Population Distribution

thirties are the new twenties: trends in US births by maternal age, 1995-2024. Since 2022, more babies have been born to mothers over 40 than under 20. [OC]

[OC] Watch 170+ years of global CO₂ emissions unfold — some countries shoot up like rockets 🚀

[OC] I found about 47,000 US Streets that include names of US States (eg, “Texas St”). There are ~94 streets that include “North Dakota”, but none of them are in North Dakota. Other states frequently use their own name.

1 Comment

[OC] Latitude, Longitude, and Humanity: Mapping Global Population Distribution

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thirties are the new twenties: trends in US births by maternal age, 1995-2024. Since 2022, more babies have been born to mothers over 40 than under 20. [OC]

[OC] Watch 170+ years of global CO₂ emissions unfold — some countries shoot up like rockets 🚀

[OC] I found about 47,000 US Streets that include names of US States (eg, “Texas St”). There are ~94 streets that include “North Dakota”, but none of them are in North Dakota. Other states frequently use their own name.

1 Comment