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This repository was archived by the owner on Jun 29, 2022. It is now read-only.

A hexagonal grid Population Scaled Cartogram from 1950 to 2100.

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addu390/population-cartogram

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⚠️ No longer maintained

In active development here: https://github.com/owid/cartograms

Demo: https://owid.github.io/cartograms

Wiki: A cartogram is a map in which the geometry of regions is distorted in order to convey the information of an alternate variable such as population. The region area will be inflated or deflated according to its numeric value

World Population Cartogram from 1960 to 2060:

Project set-up

  • Install dependencies: npm install and pip install -r requirements.txt
  • Start server: npx parcel index.html
  • Deploy (gh-pages): npm run deploy

Citations

Max Roser (2018) – "The map we need if we want to think about how global living conditions are changing". Published online at OurWorldInData.org. Retrieved from: ‘https://ourworldindata.org/world-population-cartogram’ [Online Resource]

Max's relevant citations:
This data I took from the UN Population Division and you can access that data and visualize it for other countries on our map here. https://ourworldindata.org/grapher/UN-population-projection-medium-variant?year=2018
The 2018 data is a future projection that the UN Population Division created last year.
Other data – the US in 1776, the population of various metropolitan areas, and the population of some small countries – are mostly from Wikipedia.

James A. Dougenik, Nicholas R. Chrisman & Duane R. Niemeyer (1985) AN ALGORITHM TO CONSTRUCT CONTINUOUS AREA CARTOGRAMS, The Professional Geographer, 37:1, 75-81, DOI: 10.1111/j.0033-0124.1985.00075.x

M. T. Gastner, V. Seguy, and P. More, “Fast flow-based algorithm for creating density-equalizing map projections,” Proceedings of the National Academy of Sciences, vol. 115, no. 10, pp. E2156–E2164, Feb. 2018, doi: 10.1073/pnas.1712674115.

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A hexagonal grid Population Scaled Cartogram from 1950 to 2100.

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