Points on a Map

Points on a Map

A world map displays cities as semi-transparent teal circles, sized proportionally to population using a square-root scale with a maximum radius of 15 pixels. The visualization combines a Natural Earth projection with graticules, land masses, and country borders, rendered via `d3.geoPath` and TopoJSON from the world-atlas dataset. Point positions are calculated using `d3.geoNaturalEarth1`, while city data comes from a CSV loaded with `d3.csv`. React manages the component state, and SVG circles represent each urban center.

KKevin McMorrow

Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent points. The visualization uses D3’s `geoNaturalEarth1` projection and `geoPath` to render landmasses, country interiors, and graticules from TopoJSON data. City coordinates are projected and drawn as SVG circles, with data loaded from a CSV via `d3.csv` in React hooks. The map prioritizes geographic context over point density, using a light gray palette for boundaries and teal circles for city locations.

FFonda Irena Santoso

Points on a Map

A world map displays the geographic distribution of cities, with circles sized by population. The visualization uses a natural Earth projection with graticules, land masses, and country borders. Built with React and D3 v6, it employs `geoNaturalEarth1`, `geoPath`, and `geoGraticule` to render the SVG. City data comes from a CSV of world cities, while country boundaries derive from World Atlas TopoJSON. Circle radii are scaled using `scaleSqrt` based on population values.

Ee-ines

Points on a Map

A world map rendered with a natural Earth projection displays cities as semi-transparent teal circles, with circle area scaled by population using a square-root scale. The visualization pairs D3’s geoNaturalEarth1 projection and geoPath with React components to draw landmasses, graticules, and country interiors. City coordinates and population data come from a CSV file, while geographic boundaries load via TopoJSON from the world-atlas package.

RRMartins11

Points on a Map

This example displays a world map with city points scaled by population, using a natural Earth projection. The visualization layers graticules, land masses, and country borders beneath translucent teal circles. React components manage the rendering, while D3 utilities handle geographic projections and data loading. The size of each circle is determined by a square root scale mapping population values to a maximum radius of 15 pixels, with city data sourced from a CSV of world cities and geographic features from a TopoJSON world atlas.

LLaura Johnson

Points on a Map

This example displays a world map with cities sized by population. Natural Earth projection renders landmasses, graticules, and country borders using d3.geoPath. City points from a CSV dataset are projected onto the map and drawn as semi-transparent circles, with radius scaled by population using d3.scaleSqrt. React manages component state and rendering, while d3.v7 handles geographic calculations and data loading.

BBen Brophy

Points on a Map

This visualization displays a world map with cities plotted as scaled circles representing population. The map uses the Natural Earth projection with graticules, country boundaries, and interiors rendered via D3's `geoPath` and `geoNaturalEarth1` projection. City positions come from a CSV file, and circle radii are scaled using D3's square-root scale (`scaleSqrt`) based on population data. The visualization is built with React and renders SVG marks, including land masses, a sphere outline, and graticule lines, all styled with a clean grayscale aesthetic.

Ccshm407

Points on a Map (cities)

A world map displays cities as semi-transparent circles sized by population, with landmasses, graticules, and interior borders rendered via d3.geoPath and geoNaturalEarth1. The projection maps latitude and longitude to SVG coordinates, while a d3.scaleSqrt converts population values to circle radii. Data comes from a CSV of world cities, and the map uses React hooks to load TopoJSON world-atlas geometry.

AAnthony Ynami