Skip to main content
SimilarExport ZIP
100%

Sized Points on a Map

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

A world map displays cities with populations over 50,000 as semi-transparent teal circles, with point size scaled by population using a square-root scale. The map renders SVG paths via `d3.geoPath` with a natural Earth projection, including graticules, land masses, and country interiors from TopoJSON world-atlas data. City coordinates are projected from latitude and longitude, with React components managing the visualization and D3 modules handling data loading and scales.

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

A world map displays cities with populations over 50,000 as semi-transparent teal circles sized by population using a square-root scale. The map renders via SVG with a natural Earth projection from d3.geoNaturalEarth1, with country boundaries, land masses, and graticules drawn using d3.geoPath. React manages the component state, fetching city data from a CSV via d3.csv and world topology from TopoJSON using d3.json, with the feature and mesh APIs extracting land and interior boundaries.

Mmoinamazon123
97% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations exceeding 50,000 as semi-transparent teal circles, sized proportionally to population using a square root scale. The visualization renders geographic context—landmasses, country interiors, graticules, and a sphere—using d3.geoNaturalEarth1 and d3.geoPath, with city data loaded via d3.csv from the Simplemaps World Cities Database and country boundaries from TopoJSON. React manages the component state, while d3-scale and d3-geo handle projection and sizing.

WWhitney Hung
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent teal points, sized proportionally to population using a square-root scale. The visualization uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses, graticules, and sphere geometry from World Atlas TopoJSON, while city coordinates are projected from a Simplemaps CSV. React components manage the asynchronous data loading via d3.csv and d3.json, with SVG circles positioned by the projection and radii mapped from the scale.

支支良
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent teal circles, sized proportionally using a square-root scale. The visualization layers Natural Earth landmasses, graticules, and a sphere outline, rendered via `d3.geoPath` with a `geoNaturalEarth1` projection. City coordinates and population data come from a CSV fetched using `d3.csv`, while country boundaries use TopoJSON converted with the `feature` API. React manages component state, with the SVG marks generated through the `Marks` component, combining `d3.scaleSqrt` for radius scaling and `d3.max` for domain calculation.

BBizmundo
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent, sized circles, using a square-root scale to encode population values with circle radius. Natural Earth projection and geospatial paths render the sphere, graticules, landmasses, and country boundaries from TopoJSON data, styled in dark grays and greens. City coordinates come from a CSV dataset, projected via `d3.geoPath` to SVG circles, with React managing the component state and D3 utilities handling data loading and scaling.

LLaurentVuillon
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent, sized circles, using a square-root scale to encode population values with circle radius. Natural Earth projection and geospatial paths render the sphere, graticules, landmasses, and country boundaries from TopoJSON data, styled in dark grays and greens. City coordinates come from a CSV dataset, projected via `d3.geoPath` to SVG circles, with React managing the component state and D3 utilities handling data loading and scaling.

LLaurentVuillon
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000, where the area of each teal point is proportional to city population via a square-root scale. The map includes landmasses, country boundaries, and graticules, all rendered as SVG paths using `d3.geoNaturalEarth1` and `d3.geoPath`. City data comes from the Simplemaps World Cities Database, loaded with `d3.csv` in React. Point sizes are computed with `d3.scaleSqrt`, with circles rendered at projected coordinates from `d3.geoPath`.

Llukastieber
96% match
Loading thumbnail…

Sized Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent teal dots, with point size encoding each city’s population via a square-root scale. The visualization uses React for rendering, d3.geoNaturalEarth1 and d3.geoPath for the map projection and country boundaries from World Atlas TopoJSON, plus d3.geoGraticule for grid lines. City data comes from Simplemaps via CSV, with d3.csv loading the coordinates and population values.

Mmahmud-tantoush
96% match