Sized Points on a Map

This example displays a world map with sized points representing cities, where the circle radius encodes each city's population using a square root scale with a maximum radius of 15 pixels. It renders the Natural Earth projection via d3.geoPath, including graticules and land boundaries from Topojson World Atlas data. City coordinates and population values come from a CSV dataset, and the visualization uses React for component structure alongside D3 v6 for geographic projections and scales, with all marks drawn as SVG elements.

WWolfgang

Sized Points on a Map

This example displays a world map with circles sized by city population, using a square-root scale to encode the values. The visualization uses a Natural Earth projection via `geoNaturalEarth1` and renders landmasses, graticules, and interiors using `geoPath` and `geoGraticule`. City coordinates are projected from latitude and longitude, and the data comes from the Simplemaps World Cities Database. The React application leverages D3’s `csv` and `json` fetch methods, with SVG circles styled with a teal fill and partial opacity for a clean, polished look.

Qqhfzwyx

Sized Points on a Map

Qqhfzwyx

Sized Points on a Map

Qqhfzwyx

Sized Points on a Map

This example presents a world map with cities sized proportionally to their population, using a square-root scale to encode the data. The visualization renders geographic features like landmasses, graticules, and country boundaries using `geoNaturalEarth1` and `geoPath`, while city points are drawn as SVG circles positioned via the projection. The map is built with React and D3 v5, pulling city data from a CSV of the Simplemaps World Cities Database and country topology from World Atlas TopoJSON.

CCurran Kelleher

Sized Points on map

This example displays a world map with cities represented as sized points, where the radius of each circle corresponds to the city's population. The visualization uses a natural Earth projection, rendered via SVG in a React application, with the `d3.geoNaturalEarth1` projection and `d3.geoPath` for geographic boundaries. Graticules and land interiors are styled with subtle gray strokes, while city circles are drawn using `projection([d.lng, d.lat])` and scaled with `d3.scaleSqrt`. Data comes from a CSV of world cities and the World Atlas TopoJSON.

SShantanu

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

Sized Points on a Map

This example displays a world map with circles sized by population for cities exceeding 50,000 residents. It uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and interiors. City data is loaded from a CSV using `d3.csv`, with circle radii scaled by a square root scale (`d3.scaleSqrt`). The visualization is built with React and rendered as SVG, styled with soft teal, semi-transparent points.

SSam