Fork of Sized Points on a Map

100%

Fork of Sized Points on a Map

✓ Published0🌍 Public

Last edited Mar 20, 2021

Created on Mar 20, 2021

This visualization displays a world map with cities over 50,000 population represented by semi-transparent circles, whose radii encode population via a square-root scale. Country boundaries, graticules, and the sphere outline are drawn using `d3.geoNaturalEarth1` and `d3.geoPath` in SVG. React manages the component state, fetching city data from a CSV via `d3.csv` and country topology from the World Atlas TopoJSON using `d3.json` and `topojson.feature`. The squared-sized points highlight population distribution across the globe.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent circles sized proportionally to population using a square-root scale. The visualization uses d3.geoNaturalEarth1 projection, d3.geoPath, graticules, and country boundaries from World Atlas TopoJSON, with city data from a Simplemaps CSV. React manages state and rendering, while d3.scaleSqrt maps population values to circle radii. The SVG output includes styled landmasses, sphere background, and interior borders.

VVishwanath Hegde

96% match

Loading thumbnail…

Fork of Sized Points on a Map

This example displays a world map with circles sized by population for cities exceeding 50,000 residents. The visualization uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses, graticules, and country interiors, while circles are positioned with the projection and scaled using d3.scaleSqrt. City data comes from a CSV loaded via d3.csv, and country boundaries derive from World Atlas TopoJSON processed with topojson.feature and topojson.mesh. The React component structure manages state with hooks and renders SVG elements.

Wwaqcas

96% match

Loading thumbnail…

Fork of Sized Points on a Map

This example displays a world map with cities over 50,000 in population, represented by semi-transparent circles scaled by population using a sqrt scale. It uses React for component structure and d3’s geoNaturalEarth1 projection, geoPath, and geoGraticule to render land, country interiors, and graticule lines from World Atlas TopoJSON data. City coordinates and populations come from a CSV loaded via d3.csv, with circle radii capped at 15 pixels.

Hhenry c

96% match

Loading thumbnail…

Fork of Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent teal circles whose radii are scaled linearly by population. The visualization uses d3.geoNaturalEarth1 for projection, d3.geoPath to render landmasses and country borders, and d3.geoGraticule for background grid lines. React manages the component state, with d3.csv fetching city data from Simplemaps and d3.json loading world-atlas TopoJSON. Circles are sized via d3.scaleLinear, capped at a 15-pixel radius.

TTrang Nguyen

96% match

Loading thumbnail…

Fork of Sized Points on a Map

This example displays a world map with cities over 50,000 inhabitants, where each city is represented by a semi-transparent circle sized proportionally to its population using a square-root scale. The map renders in SVG via React, using `d3.geoNaturalEarth1` for projection and `d3.geoPath` to draw landmasses, graticules, and country boundaries from TopoJSON. City coordinates and population values come from a CSV dataset, with circle radii mapped from population via `scaleSqrt`.

Cchar0496

96% match

Loading thumbnail…

Fork of Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent circles, sized by population using a square-root scale. The visualization uses React to render SVG marks, with d3.geoNaturalEarth1 and d3.geoPath for the map projection and country boundaries. City data comes from the Simplemaps World Cities Database, and the map includes graticules and interior borders from World Atlas TopoJSON, styled with light gray fills and strokes.

Bbigstonecompany

96% match

Loading thumbnail…

Fork of Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent circles, sized proportionally to population using a square-root scale. The visualization uses React for component structure, with d3-geo’s `geoNaturalEarth1` projection and `geoPath` to render landmasses, graticules, and country boundaries from World Atlas TopoJSON. City coordinates and populations come from Simplemaps’ World Cities Database, loaded via d3.csv. The SVG rendering iterates over city data, projecting longitude and latitude to screen positions and setting circle radii through the `scaleSqrt` domain and range.

YYedrup

95% match

Loading thumbnail…

Fork of Sized Points on a Map

This visualization presents a world map where each circle represents a city with a population exceeding 50,000, sourced from the Simplemaps World Cities Database. The circles’ radii are scaled using a square-root scale (`scaleSqrt`) based on population, with a maximum radius of 15 pixels. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country landmasses and interiors from World Atlas TopoJSON, plus graticules for a polished look. The visualization is built with React and SVG, loading data via custom `useWorldAtlas` and `useCities` hooks that fetch JSON and CSV respectively.

AAnkit-Ian-53787

95% match