Skip to main content
SimilarExport ZIP
100%

Sized Points on a Map

✓ Published0🌍 Public
Bbootshine2
Last edited Oct 9, 2019
Created on Oct 9, 2019

This example shows a world map with cities represented as sized points, where circle radius encodes each city’s population using a square-root scale. It uses d3.geoNaturalEarth1 and d3.geoPath to render land, graticules, and interiors from World Atlas TopoJSON, while city data comes from a Simplemaps CSV loaded via d3.csv. The React component passes a d3.scaleSqrt to SVG circles, with rendering handled in React and styling via CSS.

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 example shows a world map with cities represented as sized points, where circle radius encodes each city’s population using a square-root scale. It uses d3.geoNaturalEarth1 and d3.geoPath to render land, graticules, and interiors from World Atlas TopoJSON, while city data comes from a Simplemaps CSV loaded via d3.csv. The React component passes a d3.scaleSqrt to SVG circles, with rendering handled in React and styling via CSS.

Bbootshine2
100% match
Loading thumbnail…

Sized Points on a Map

This example displays a world map with city points sized by population, using a square-root scale to encode population values as circle radii. The visualization combines geographic context from World Atlas TopoJSON data with city data from Simplemaps, rendering both through React and SVG. The code uses d3.geoNaturalEarth1 for projection, d3.geoPath for country boundaries and graticules, and d3.scaleSqrt for sizing, with translucent Cornsilk circles overlaid on dark landmasses and green borders.

LLaurentVuillon
96% match
Loading thumbnail…

Sized Points on a Map

This example displays a world map with sized points representing cities, where the circle radius encodes each city's population using a square root scale with a maximum radius of 15 pixels. It renders the Natural Earth projection via d3.geoPath, including graticules and land boundaries from Topojson World Atlas data. City coordinates and population values come from a CSV dataset, and the visualization uses React for component structure alongside D3 v6 for geographic projections and scales, with all marks drawn as SVG elements.

WWolfgang
95% match
Loading thumbnail…

Sized Points on a Map

This example displays a world map with cities sized by population, using a sqrt scale to encode values up to 15 pixels in radius. The map is rendered in SVG with d3.geoPath, d3.geoNaturalEarth1 for projection, and graticules for reference. City data comes from the Simplemaps World Cities Database, while country boundaries use World Atlas TopoJSON. React manages the component state and lifecycle, fetching both datasets via d3.csv and d3.json before rendering.

JJens Grochtdreis
95% match
Loading thumbnail…

Sized Points on a Map

This example presents a world map with cities sized proportionally to their population, using a square-root scale to encode the data. The visualization renders geographic features like landmasses, graticules, and country boundaries using `geoNaturalEarth1` and `geoPath`, while city points are drawn as SVG circles positioned via the projection. The map is built with React and D3 v5, pulling city data from a CSV of the Simplemaps World Cities Database and country topology from World Atlas TopoJSON.

CCurran Kelleher
95% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as sized points, using a square-root scale to map population to circle radius up to 15 pixels. The visualization is rendered as SVG via React, with geographic features drawn using `d3.geoPath` and a Natural Earth projection from `d3.geoNaturalEarth1`. Country boundaries and graticules come from the World Atlas TopoJSON, while city coordinates and populations load from a Simplemaps CSV. The map uses `d3.scaleSqrt` for point sizing and an opacity of 0.3 for the city circles.

Mmkt-ds
95% match
Loading thumbnail…

Sized Points on a Map

This example displays a world map with circles sized proportionally to city populations, using data from the Simplemaps World Cities Database. The map renders geographic features with d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule, while country boundaries load from World Atlas TopoJSON. City points are placed via projection coordinates and scaled with d3.scaleSqrt, all built within a React component using SVG. The visualization includes graticules and styled land, sphere, and interior paths for a polished cartographic look.

GGustavoRiveraM
95% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000, using circles sized by a square-root scale to represent population magnitude. The visualization employs a Natural Earth projection with graticules and country boundaries, rendered as SVG paths. City data comes from the Simplemaps World Cities Database, loaded via `d3.csv`, while country boundaries use TopoJSON from the World Atlas. The React app uses `d3.geoPath` for map geometry and `scaleSqrt` for circle radii, with semi-transparent teal circles overlaid on a light gray landmass.

EEric Ho
95% match