Skip to main content
SimilarExport ZIP
100%

Sized Points on a Map

✓ Published0🌍 Public
Ggilbertlmw
Last edited Apr 20, 2020
Created on Apr 20, 2020

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.

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 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
96% 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

This example displays a world map with circles sized proportionally to city populations, using a square root scale to encode population values. The visualization renders geographic landmasses, graticules, and interiors via D3’s `geoNaturalEarth1` projection and `geoPath`, while city points are positioned with the same projection. Data comes from a Simplemaps CSV of cities with populations over 50,000, and country boundaries from TopoJSON’s world-atlas. React manages the component state, and SVG circles use a max radius of 15 pixels with a teal fill.

RRochelle
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
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations exceeding 50,000, using circle size to encode population magnitude. The visualization renders geographic context via d3.geoNaturalEarth1 projection and d3.geoPath for landmasses, graticules, and country boundaries. City positions are projected from latitude and longitude coordinates, with circle radii scaled by a d3.scaleSqrt function representing population values. Data comes from the Simplemaps World Cities Database and World Atlas TopoJSON, while React components manage the SVG rendering.

Nnkohdatavis
95% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations exceeding 50,000, using circle size to encode population magnitude. The visualization renders geographic context via d3.geoNaturalEarth1 projection and d3.geoPath for landmasses, graticules, and country boundaries. City positions are projected from latitude and longitude coordinates, with circle radii scaled by a d3.scaleSqrt function representing population values. Data comes from the Simplemaps World Cities Database and World Atlas TopoJSON, while React components manage the SVG rendering.

Nnkohdatavis
95% match
Loading thumbnail…

Sized Points on a Map

This visualization displays a world map with points sized by city population, using data from the Simplemaps World Cities Database for cities with over 50,000 residents. D3’s `geoNaturalEarth1` projection and `geoPath` render the sphere, graticules, and land boundaries from the World Atlas TopoJSON. A `scaleSqrt` maps population values to circle radii up to 15 pixels, while React composes the SVG elements. The semi-transparent teal circles overlay a light gray landmass, with country borders and graticules providing geographic context.

Aankita1mit
95% 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
95% match