Points on a Map

100%

Points on a Map

✓ Published1🌍 Public

Last edited Apr 23, 2021

Created on Apr 23, 2021

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.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Points on a Map

A map of the world displays cities with populations over 50,000 as small translucent dots. The visualization uses a React component with D3’s `geoNaturalEarth1` projection and `geoPath` to render country boundaries, graticules, and the sphere outline. City coordinates are projected from latitude and longitude, with data loaded via `d3.csv` from the Simplemaps World Cities Database, while land and interior borders come from TopoJSON in the World Atlas TopoJSON dataset.

MMarco Malvicini

96% match

Loading thumbnail…

Points on a Map

This example displays a world map with cities whose populations exceed 50,000, plotted as semi-transparent circles. The map uses a Natural Earth projection via `d3.geoNaturalEarth1`, with landmasses, graticules, and country interiors drawn using `d3.geoPath` from the World Atlas TopoJSON dataset. City coordinates are projected from latitude and longitude into SVG circle positions, with the data loaded from a Simplemaps CSV via `d3.csv`. The rendering is handled in React, producing a clean, styled SVG visualization.

GGiovanniD_

95% match

Loading thumbnail…

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

95% match

Loading thumbnail…

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

95% match

Loading thumbnail…

Points on a Map

A world map displays the locations of cities with populations over 50,000 as small semi-transparent dots, overlaid on landmasses with country borders and graticules. Using React, the visualization loads GeoJSON world-atlas topology and city data via D3’s `json` and `csv` methods, then projects coordinates with `geoNaturalEarth1` and renders SVG paths and circles through `geoPath`. The map’s gray land, interiors, and sphere are styled distinctly, while city points use D3’s `projection` to convert longitude and latitude into screen positions.

LLove Wessman

95% match

Loading thumbnail…

Points on a Map

A natural Earth projection world map displays cities with populations over 50,000 as semi-transparent teal dots, layered over light gray landmasses and graticules. The visualization uses React with D3 v5, employing `geoNaturalEarth1` and `geoPath` for the projection, while city coordinates are converted through the projection function to position SVG circles. City data originates from Simplemaps' World Cities Database, with country boundaries from the World Atlas TopoJSON, and the map includes subtle interior country borders for geographic context.

Ddanrhymes

95% match