Sized Points on a Map

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

Sized Points on a Map

A world map displays cities with populations over 50,000 as semitransparent circles, sized proportionally to their population using a square-root scale. The visualization uses React for the user interface and D3 v5’s `geoNaturalEarth1` projection with `geoPath` to render country boundaries, graticules, and a sphere backdrop. City data comes from Simplemaps, while country shapes come from World Atlas TopoJSON. Circles are positioned via the projection and sized using `scaleSqrt` from D3, with opacity set through CSS.

Ssarabaghery76

Sized Points on a Map

A world map displays cities with populations over 50,000, with each city shown as a semi-transparent circle whose radius is proportional to population via a square-root scale. The map uses a natural Earth projection and includes graticules, country land masses, and interior boundaries. The visualization is built with React and D3, using `d3.geoNaturalEarth1` and `d3.geoPath` for rendering the map, `d3.scaleSqrt` for the circle sizes, and data loaded from a Simplemaps world cities CSV.

TTatyana Milanova

Sized Points on a Map

A world map displays cities with populations greater than 50,000 as sized circles, using a square-root scale to map population values to circle radii up to 15 pixels. The map is rendered in SVG with React, using D3’s geoNaturalEarth1 projection and geoPath to draw landmasses, country boundaries, and graticules. City coordinates and populations come from a Simplemaps dataset, loaded via d3.csv, while country geometries derive from World Atlas TopoJSON.

Aachintyatripathi

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

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

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 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