Points on a World Map

100%

Points on a World Map

✓ Published1🌍 Public

Last edited Sep 18, 2021

Created on Sep 18, 2021

This example displays global population distribution by plotting cities as semi-transparent circles on a natural Earth projection, with circle size scaled by population using a square-root scale. The visualization uses React for component structure, D3 v7’s `geoNaturalEarth1` and `geoPath` for map rendering, and TopoJSON to load world country boundaries. City coordinates and populations come from a CSV dataset, projected onto the map with `projection([lng, lat])`.

AI-generated description

Rendering CSS named colors from MDN.

MIT Licensed

Similar vizzes

Loading thumbnail…

Points on a Map

This example visualizes global population data by plotting cities as semi-transparent circles on a Natural Earth projected world map. A square-root scale maps each city’s population to circle radius, with the largest cities appearing most prominent. The visualization uses React for component structure and D3 v5 APIs including `geoNaturalEarth1`, `geoPath`, `geoGraticule`, and `scaleSqrt`. Country boundaries and graticules come from the World Atlas TopoJSON, while city coordinates and populations are loaded from a clean CSV dataset.

Qqtrfx

93% match

Loading thumbnail…

Points on a map

This example visualizes global population distribution by plotting circles for cities on a natural Earth projection map. Circle radius encodes population using a square-root scale, with semi-transparent styling to show overlapping urban areas. The visualization uses React for component rendering, D3 v5 for geographic projections (`geoNaturalEarth1`), path generation (`geoPath`), and graticule creation, alongside TopoJSON to process world-atlas land and interior boundary data. City coordinates and populations come from a CSV dataset loaded via D3’s `csv` utility.

Rrajamrit-singh

93% match

Loading thumbnail…

Points on World Map

This example displays global city populations as semi-transparent circles overlaid on a world map. The map uses a natural Earth projection rendered with D3’s `geoNaturalEarth1` and `geoPath`, with graticule and land/interior outlines. The `topojson` library processes world-atlas boundaries. City coordinates and populations come from a CSV, scaled by a square-root scale to a maximum radius of 10 pixels. The visualization is built in React, using hooks to asynchronously fetch data and render the SVG scene.

SSamuel Oseh

93% match

Loading thumbnail…

Points on a Map

This visualization displays world cities as semi-transparent circles overlaid on a natural Earth projection map, with circle size encoding population via a square root scale. The map includes land masses, country borders, graticules, and a sphere outline. React manages the component structure, while D3 v7 handles geo projection and path generation through `d3.geoNaturalEarth1` and `d3.geoPath`. City data comes from a CSV loaded with `d3.csv`, and world geography uses TopoJSON from the world-atlas package, rendered as SVG.

KK3zter

93% match

Loading thumbnail…

Points on world map

This visualization displays world cities as scaled circles on a natural Earth projection, with marker size encoding population using a square-root scale. The map renders land masses, graticules, and country borders in muted grays, while semi-transparent teal points overlay major urban centers. Built with React and D3 v7, it uses `geoNaturalEarth1` with `geoPath` for geographic projection, TopoJSON for world atlas data, and `scaleSqrt` to map population values to circle radii. City coordinates and populations come from a CSV dataset loaded via D3’s `csv` function.

AAlex Stulov

93% match

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

92% match

Loading thumbnail…

Point on a World Map

This example visualizes global population distribution by plotting cities as points on a natural Earth projection world map, with point size scaled by population. The map renders land masses, graticules, and country borders from TopoJSON 50m world-atlas data using d3.geoNaturalEarth1 and d3.geoPath. City coordinates are projected from latitude/longitude, with circle radii determined by a square-root scale mapping population values to a maximum radius of 8 pixels. React manages the SVG rendering, while d3.csv loads the world cities dataset.

Hhunsingeruk@gmail.com

92% match

Loading thumbnail…

Points on a Map

A world map rendered with a Natural Earth projection displays global cities as semi-transparent circles, sized by population. The visualization uses React and D3 v7, with `geoNaturalEarth1` and `geoPath` to draw landmasses, graticules, and country interiors from TopoJSON data. City coordinates are projected and plotted as SVG circles, with a sqrt scale mapping population to radius. Data comes from a CSV of world cities loaded via `d3.csv`.

BBen Seebeck

92% match