Sized Points on a Map

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

Sized Points on a Map

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.

Ssophburke

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

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

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

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

Sized Points on a Map

A world map displays cities with populations exceeding 50,000, with each city represented as a circle whose area encodes population using a square-root scale. The visualization uses d3’s geoNaturalEarth1 projection, geoPath, and geoGraticule to render country boundaries and graticules, while React manages the SVG scene. City coordinates and populations come from a Simplemaps World Cities CSV, and country boundaries derive from the World Atlas TopoJSON, styled with subtle gray fills and strokes.

VVineel Gannu

Sized Points on a Map

A world map displays cities with populations exceeding 50,000, using sized points to encode population via a d3.scaleSqrt square-root scale. The visualization renders a Natural Earth projection using d3.geoNaturalEarth1 and d3.geoPath, with graticules and country boundaries from World Atlas TopoJSON. City data from Simplemaps is plotted as semi-transparent circles. The React-based code loads TopoJSON and CSV data asynchronously, then applies d3.geoPath to project coordinates and d3.scaleSqrt to determine circle radii.

Aakp21