Population Densities on a Map

100%

Population Densities on a Map

✓ Published1🌍 Public

Last edited Sep 15, 2021

Created on Sep 15, 2021

A world map displays population densities of cities as semi-transparent blue circles, with circle size proportional to population using a square root scale. The map uses a Natural Earth projection with land shapes, graticules, and country interiors rendered as SVG paths. Built with React and D3 v5, the visualization loads geographic data from TopoJSON and city data from CSV, using `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` for map geometry and `d3.scaleSqrt` for encoding population values.

AI-generated description

Making a world map with React and D3

MIT Licensed

Similar vizzes

Loading thumbnail…

Points on a World Map

A world map displays population data for cities as scaled circles, with marker size proportional to population using a square-root scale. The visualization uses D3’s geoNaturalEarth1 projection, geoPath, and geoGraticule to render land masses, country borders, and graticules, while React manages state and renders SVG circles. City coordinates and populations come from a CSV file, with world geography from a TopoJSON dataset. Circles are semi-transparent blue, overlaid on gray land and sphere outlines.

DDeborah Ong

86% match

Loading thumbnail…

Point on the map

This example displays a world map with cities as semi-transparent blue circles, sized by population using a square-root scale. It shows geographical data in an SVG rendered with React and D3 v5. The map uses `geoNaturalEarth1` and `geoPath` for the sphere, graticules, land masses, and country borders, while city coordinates are projected and drawn as circles. Population data comes from a CSV of world cities, and the map data uses TopoJSON with the `world-atlas` package.

YYenTingWu

86% match

Loading thumbnail…

World Map

A world map visualization displays global cities as semi-transparent circles sized by population, overlaid on a natural Earth projection. The map renders landmasses, country interiors, and graticules using `d3.geoNaturalEarth1` and `d3.geoPath`. City coordinates and population data load via `d3.csv` from a world cities dataset, while geographic boundaries come from TopoJSON world-atlas data. React manages the asynchronous data loading and SVG rendering, with a square-root scale mapping population values to circle radii.

Uuplusv

86% match

Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semitransparent circles, with circle size scaled proportionally to population using a square-root scale. The visualization renders geographic boundaries, graticules, and a sphere outline via `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` within a React component using SVG. City population data comes from the Simplemaps World Cities Database, while country shapes derive from TopoJSON world-atlas data, processed with topojson’s `feature` and `mesh` functions.

Mmoinamazon123

85% match

Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent circles, with radius encoding population magnitude via a square-root scale. The visualization uses a Natural Earth projection and geo paths from d3.geoPath to render land, graticules, and country boundaries from World Atlas TopoJSON. City coordinates are projected using d3.geoNaturalEarth1, with data sourced from the Simplemaps World Cities Database. The React-based SVG rendering leverages D3 v5 for geographic and scaling operations, presenting city population distributions across the globe.

Mmtabaka

85% match

Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent teal circles, sized proportionally using a square-root scale. The visualization layers Natural Earth landmasses, graticules, and a sphere outline, rendered via `d3.geoPath` with a `geoNaturalEarth1` projection. City coordinates and population data come from a CSV fetched using `d3.csv`, while country boundaries use TopoJSON converted with the `feature` API. React manages component state, with the SVG marks generated through the `Marks` component, combining `d3.scaleSqrt` for radius scaling and `d3.max` for domain calculation.

BBizmundo

85% match

Loading thumbnail…

World map

This world map visualizes global city populations, with semi-transparent circles sized by population using a square-root scale. A Natural Earth projection draws the landmasses, graticule, and country borders via D3's `geoNaturalEarth1` and `geoPath`, while city coordinates are projected and rendered as SVG circles. The map loads geographic data from World Atlas TopoJSON and population data from a CSV, using `topojson.feature` and `topojson.mesh` to construct the land and interior boundaries.

TTakuya Kitazawa

85% match

Loading thumbnail…

World Map

This visualization displays a natural Earth projection world map with cities represented as semi-transparent circles sized by population. The map renders land masses in light gray with graticules and country borders overlaid. Built with React and D3 v6, it uses `geoNaturalEarth1` and `geoPath` for geographic projections, while `scaleSqrt` maps population data to circle radii. City coordinates and populations come from a CSV of world cities, and country boundaries derive from TopoJSON world-atlas data.

Ssophievanderhorst

85% match