8:46 map with points

100%

8:46 map with points

✓ Published2🌍 Public

Last edited Mar 3, 2021

Created on Mar 3, 2021

A world map rendered with D3's geoNaturalEarth1 projection displays cities as scaled circles representing population, with each country filled by a random hue derived from a preset green. The visualization uses d3.geoPath for geographic shapes, d3.geoGraticule for grid lines, and d3.scaleSqrt for circle sizing based on city population data loaded via d3.csv. React manages state and renders SVG elements, while topojson feature and mesh APIs extract country boundaries and interior borders from the world-atlas dataset.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

World Map Points

A world map rendered with D3's geoNaturalEarth1 projection and geoPath displays cities as semi-transparent circles sized by population via a square-root scale. The map includes graticules, landmasses, and country borders from the world-atlas TopoJSON dataset, transformed with topojson.feature and topojson.mesh. City coordinates and populations load from an external CSV, while React manages the SVG rendering. This example demonstrates combining geographic basemaps with proportional point symbols in a single React component.

PPadoSensei

92% 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

91% match

Loading thumbnail…

Points on a Map

This visualization displays a world map with circles representing the populations of cities, scaled using a square root scale from D3. The map, rendered as SVG in a React app, uses the D3 `geoNaturalEarth1` projection to place points. Geographic data comes from the world-atlas TopoJSON via `topojson.feature` and `topojson.mesh`, while city data loads from a CSV. The graticule, sphere, and land outlines are styled via CSS, and the semi-transparent teal circles have opacity set to 0.3.

Vvmonney

91% 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

91% match

Loading thumbnail…

Points On A Map

A world map rendered with D3 geoNaturalEarth1 projection displays cities as semi-transparent blue points, overlaid on light gray landmasses with graticules and interior borders. The visualization loads world atlas TopoJSON and a Simplemaps city dataset, using d3.geoPath to draw geographic features and projecting city coordinates to SVG circles. React manages the data-fetching hooks and component rendering.

Aadewole-top

91% match

Loading thumbnail…

Points on a Map

A world map rendered with SVG marks shows the globe in muted grays with graticule lines and country borders, overlaid with translucent teal circles sized by city population. The visualization uses a React component with d3’s geoNaturalEarth1 projection and geoPath to draw land and interiors from a TopoJSON world atlas, while city coordinates from a CSV are projected and drawn as circles with a square-root scale mapped to population. The data comes from the Data Canvas Sense Your City Dataset.

AAndrea Picciau

91% match

Loading thumbnail…

Points on a Map

A world map displays country boundaries and graticules over a light gray sphere, with semi-transparent teal circles sized by city population. The visualization uses d3.geoNaturalEarth1 for projection and d3.geoPath to render land, interiors, and sphere outlines from TopoJSON data. City coordinates are projected and drawn as SVG circles, with radii scaled using d3.scaleSqrt applied to population values from a CSV dataset. The React component structure manages state for both world atlas and city data.

Jj-PGi

91% match

Loading thumbnail…

Points on a Map

This example displays a world map with points representing cities, with circle sizes scaled by population using a square-root scale. It shows a natural Earth projection with graticules and country boundaries overlaid. The visualization uses React to manage state and rendering, while D3 v5 provides `geoNaturalEarth1`, `geoPath`, `geoGraticule`, and `scaleSqrt`. City data comes from a CSV file, and world geography is loaded as TopoJSON. Circles are semi-transparent teal, plotted via projected longitude and latitude coordinates.

Aazharahmad0

91% match