Points_on_a_Map

100%

Points_on_a_Map

✓ Published0🌍 Public

Last edited Aug 9, 2021

Created on Aug 9, 2021

This visualization displays a world map with hundreds of cities, each represented as a small circle with a soft opacity. It uses a Natural Earth projection via `geoNaturalEarth1` and renders geographic features through `d3.geoPath`, including graticules, land masses, and country borders. City coordinates are projected from longitude and latitude data, and the circles are drawn as SVG elements. The map aggregates city data from the Simplemaps World Cities Database and World Atlas TopoJSON, with React managing the component state and data loading.

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 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

94% match

Loading thumbnail…

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

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Points on a Map

This visualization displays a world map with circles positioned at the coordinates of cities. The size of each circle is proportional to the city's population, using a square root scale to visually encode the data. Built with React and D3 version 5, the map uses the `geoNaturalEarth1` projection and `geoPath` to render land, graticules, and country interiors from World Atlas TopoJSON. City data is loaded from a CSV file, and the visualization is rendered as SVG.

EEFezerKW

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Points on a Map

A world map rendered with a Natural Earth projection displays global cities as semi-transparent circles, sized by population. The visualization uses React and D3 v7, with `geoNaturalEarth1` and `geoPath` to draw landmasses, graticules, and country interiors from TopoJSON data. City coordinates are projected and plotted as SVG circles, with a sqrt scale mapping population to radius. Data comes from a CSV of world cities loaded via `d3.csv`.

BBen Seebeck

92% match

Loading thumbnail…

Points on a Map

This example displays a stylized world map with semi-transparent, scaled circles marking the population of cities. The visualization uses a Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render land masses, graticules, and country interiors from a TopoJSON world atlas. City coordinates are projected onto the SVG canvas, with circle radii determined by a square root scale (`d3.scaleSqrt`) based on population data loaded from a CSV. The React application manages data fetching with custom hooks, while the `Marks` component renders the geographic layers and city points.

MMilena Belianovich Holtman

92% match

Loading thumbnail…

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

92% match