Sized Points on a Map

100%

Sized Points on a Map

✓ Published0🌍 Public

Last edited Oct 7, 2020

Created on Oct 7, 2020

This visualization displays global cities with populations exceeding 50,000 as semi-transparent circles sized proportionally to population using a square-root scale. The map uses a natural Earth projection, with country boundaries, interiors, and graticules rendered via d3.geoPath from TopoJSON world-atlas data. City coordinates are projected using d3.geoNaturalEarth1, with population data loaded from a Simplemaps CSV. The React component applies the size scale to each circle’s radius, creating an immediate visual comparison of urban population distribution across continents.

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…

Sized Points on a Map

This visualization displays global cities with populations over 50,000 as semi-transparent circles on a natural Earth projection. Circle radius encodes population magnitude using a square-root scale, making larger metropolitan areas visually prominent. The map renders country boundaries, graticules, and sphere outlines via d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule, while React manages the SVG markup. City data originates from Simplemaps, loaded through d3.csv, and geographical boundaries come from World Atlas TopoJSON, processed with topojson.feature and topojson.mesh.

MMari Roberts

96% match

Loading thumbnail…

Sized Points on a Map

This example visualizes global population distribution by rendering cities with over 50,000 inhabitants as semi-transparent circles, sized with a square-root scale to reduce visual disparity. The map uses an equal-area natural Earth projection with graticules and political interiors drawn from the World Atlas TopoJSON. The React app uses `d3.geoPath` for geographic features and `d3.scaleSqrt` for proportional sizing, with city data sourced from the Simplemaps World Cities Database.

SSabin Bhandari

94% match

Loading thumbnail…

Sized Points on a Map

This visualization displays world cities with populations exceeding 50,000 as sized points on a natural Earth projection. Circle radii encode population using a square root scale, with data sourced from the Simplemaps World Cities Database. The map renders via React and SVG, using d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule to draw country boundaries and graticules, while TopoJSON provides land and interior mesh geometry.

Kknut_ivar_osvoll@hotmail.com

94% match

Loading thumbnail…

Sized Points on a Map

This example visualizes global population distribution by rendering sized circles for cities with populations exceeding 50,000. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to draw countries, graticules, and interiors from World Atlas TopoJSON data. City positions are projected from latitude and longitude coordinates, with circle radii scaled by population using `d3.scaleSqrt`. The React component fetches city data from a Simplemaps World Cities CSV.

CClement Yan

94% match

Loading thumbnail…

Sized Points on a Map

This visualization displays a world map with circles sized proportionally to city populations, using data from Simplemaps and country boundaries from World Atlas TopoJSON. The map is rendered with SVG and React, employing d3.geoNaturalEarth1 and d3.geoPath for geographic projections, while a d3.scaleSqrt maps population values to circle radii. The visualization includes graticules and land/interior boundaries, with semi-transparent teal circles marking cities with populations over 50,000.

Ggilbertlmw

94% 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

94% match

Loading thumbnail…

Sized Points on a Map

This visualization displays a world map with circles sized by city population, using a square-root scale to encode magnitude. The map includes landmasses, graticules, and country interiors rendered via d3.geoPath and a geoNaturalEarth1 projection. City coordinates and population data come from a CSV dataset, with React managing the component lifecycle and d3.v5 handling data loading and scaling. Semi-transparent teal circles are positioned using the projection and scaled up to a maximum radius of 15 pixels.

KKhalid

94% 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

94% match