World Map

100%

✓ Published0🌍 Public

Last edited Jul 22, 2023

Created on Jul 21, 2023

This visualization displays a world map with city locations overlaid as semi-transparent dots. The map uses the Natural Earth projection via `d3.geoNaturalEarth1`, with graticules, land polygons, and country boundaries rendered through `d3.geoPath` and TopoJSON data from the world-atlas package. City coordinates from a CSV file are projected and drawn as SVG circles. The React component manages data loading with custom hooks, while D3 v5 handles geo and CSV parsing.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

World Map

A world map visualization displays global cities as semi-transparent circles sized by population, overlaid on a natural Earth projection. The map renders landmasses, country interiors, and graticules using `d3.geoNaturalEarth1` and `d3.geoPath`. City coordinates and population data load via `d3.csv` from a world cities dataset, while geographic boundaries come from TopoJSON world-atlas data. React manages the asynchronous data loading and SVG rendering, with a square-root scale mapping population values to circle radii.

Uuplusv

91% match

Loading thumbnail…

World Map

This example displays a natural Earth projection world map with graticule lines, country borders, and interior boundaries. City populations are plotted as semitransparent circles with radii scaled by the square root of population using `d3.scaleSqrt`. The visualization uses React hooks to load world atlas TopoJSON data and a CSV of global cities, converting them into GeoJSON features via `topojson.feature` and `topojson.mesh`. D3’s `geoNaturalEarth1` projection and `geoPath` render the SVG shapes.

Iiblub

91% match

Loading thumbnail…

World Map v2

This example displays a world map with cities plotted as points, using a natural Earth projection to render country boundaries, graticules, and a sphere outline. The visualization loads geographic data from a TopoJSON world atlas and city coordinates from a CSV file, then projects them using d3.geoNaturalEarth1 and d3.geoPath. React manages the component state and rendering, while d3.csv and d3.json fetch the datasets. The map is drawn entirely in SVG, with each city represented as a small circle positioned by its longitude and latitude.

JJohn Lewis

91% match

Loading thumbnail…

World Map

This visualization displays a natural Earth projection world map with cities represented as semi-transparent circles sized by population. The map renders land masses in light gray with graticules and country borders overlaid. Built with React and D3 v6, it uses `geoNaturalEarth1` and `geoPath` for geographic projections, while `scaleSqrt` maps population data to circle radii. City coordinates and populations come from a CSV of world cities, and country boundaries derive from TopoJSON world-atlas data.

Ssophievanderhorst

91% match

Loading thumbnail…

World Map with Cities

This visualization displays a world map with cities, where each city is represented by a circle scaled proportionally to its population. Using D3’s geoNaturalEarth1 projection and geoPath, the map renders landmasses, graticules, and country interiors from TopoJSON data, while city locations are projected from latitude and longitude coordinates. The React component employs the useWorldAtlas and useCities custom hooks to load data via d3.json and d3.csv, with d3.scaleSqrt mapping population to circle radius sizes.

JJohn Huang

91% match

Loading thumbnail…

World Map with City Points

This example displays a world map with cities plotted as points using a Natural Earth projection. The visualization renders landmasses, country borders, graticules, and a sphere outline, with semi-transparent teal circles representing city locations. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` for geographic projection, TopoJSON for world atlas data, and CSV-loaded city coordinates. City points are positioned through `d3.geoPath`'s projection function, converting latitude and longitude into SVG circle positions.

SSam Hege

90% match

Loading thumbnail…

Worldmap with cities

This example displays a world map using a Natural Earth projection, with the landmasses rendered as gray polygons and graticules overlaid. City locations are plotted as semi-transparent circles, with their radius scaled by the square root of each city's population. Built with React, the visualization uses D3.js modules `geoNaturalEarth1`, `geoPath`, and `geoGraticule` for the map projections and graticule, while `scaleSqrt` maps population values to circle sizes. City data is loaded from a CSV file, and world atlas geometries are fetched as TopoJSON, which is processed through `topojson` functions.

DDaniel Zsido

90% match

Loading thumbnail…

Points on a map

This example displays a natural Earth projection world map with city locations plotted as semi-transparent teal circles. It loads world geography from the World Atlas TopoJSON and city coordinates from a CSV file. Using React hooks, it fetches both datasets and renders them as SVG elements. The map includes graticules, country boundaries, and interior borders, with cities positioned via the `d3.geoNaturalEarth1` projection and `d3.geoPath`. The visualization is built with D3 v6, React, and uses `d3.geoGraticule` for the background grid.

Ssurikmeetr

90% match