Points on a Map (cities)

Points on a Map

A world map displays cities as semi-transparent, radius-scaled circles proportional to population, using a Natural Earth projection. The visualization, built with React and D3 (v5), renders SVG paths for land, graticules, and sphere outlines via `geoPath`, while circles are projected using `geoNaturalEarth1`. City data comes from a CSV of world cities, and the map’s geographic basemap is provided by the `world-atlas` TopoJSON, processed through `topojson.feature` and `topojson.mesh`.

RRajat Dangat

Points on a Map

A world map populated with semi-transparent circles representing the populations of cities from a cleaned World Cities dataset. The visualization uses a Natural Earth projection rendered with `d3.geoPath`, layering graticules, land masses, and country borders beneath the points. Circle radii are scaled with `d3.scaleSqrt` based on population, capped at a maximum radius of 15 pixels. The React component fetches TopoJSON world atlas data and CSV city data, then renders the SVG marks with D3 v5.

Wwindwaver

Points on a Map

A world map displays cities as semi-transparent teal circles, with circle size encoding population via a square-root scale. The map uses a Natural Earth projection with land masses, graticules, and country interiors rendered via `geoPath` and `geoGraticule` from D3. The React app loads TopoJSON from World Atlas and CSV city data, then projects coordinates through `geoNaturalEarth1` to position the SVG circles.

AAnkit-Ian-53787

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 cities with populations over 50,000 as semi-transparent dots. The visualization uses a natural Earth projection via d3.geoNaturalEarth1 and renders geographic features with d3.geoPath, including land masses and graticules. City coordinates are projected from latitude and longitude into SVG circle positions. The map loads country boundaries from World Atlas TopoJSON and city data from a Simplemaps CSV, with React managing the data-fetching hooks and rendering the SVG marks.

GGeniXiong

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

This visualization displays world cities as semi-transparent circles overlaid on a natural Earth projection map, with circle size encoding population via a square root scale. The map includes land masses, country borders, graticules, and a sphere outline. React manages the component structure, while D3 v7 handles geo projection and path generation through `d3.geoNaturalEarth1` and `d3.geoPath`. City data comes from a CSV loaded with `d3.csv`, and world geography uses TopoJSON from the world-atlas package, rendered as SVG.

KK3zter

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