Points on a Map

This example displays a world map with points marking cities, rendered as an SVG using D3’s geoNaturalEarth1 projection and geoPath. The map shows landmasses, graticules, and country borders from the world-atlas TopoJSON, while city locations from a CSV file are plotted as semi-transparent circles. React manages the component state, fetching the data with useWorldAtlas and useCities hooks, and the d3.geoPath calculates the projected coordinates for each circle.

Rrstrauss127

Points on a Map

This example displays a world map with city points overlaid, using a Natural Earth projection via d3.geoNaturalEarth1 and d3.geoPath. The map includes land boundaries, graticules, and interiors rendered as SVG paths from World Atlas TopoJSON data. City locations, loaded from a CSV with d3.csv, are plotted as semi-transparent circles. The visualization is built with React and D3 v5, demonstrating a clean, styled cartographic composition with an equirectangular-like aesthetic.

Ppnlinyz

Points on Map

This example displays a world map with city points overlaid, using a Natural Earth projection. The map shows country boundaries, graticules, and a sphere outline, with city locations plotted as circles. It uses d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule to render the geographic features, while city data is loaded from a CSV via d3.csv. The visualization is built with React, rendering SVG elements, and uses TopoJSON from the World Atlas for country polygons and interior borders.

MMark Lam

Points on a Map

A world map displays country boundaries and graticules, with hundreds of semi-transparent points marking city locations. The visualization uses D3’s `geoNaturalEarth1` projection and `geoPath` to render landmasses and interiors from World Atlas Topojson, while city coordinates are projected and drawn as SVG circles. React manages the component state, fetching data via `useEffect` and D3’s `csv` and `json` loaders.

FFloorNummer

points on a Map

This example displays a world map with semi-transparent points representing cities, overlaid on a natural Earth projection. The visualization uses D3 v5’s `geoNaturalEarth1` and `geoPath` to render the sphere, graticules, landmasses, and country interiors from a TopoJSON world atlas, while city coordinates from a CSV are projected and drawn as circles. React manages the component state, fetching data asynchronously with `useEffect` and rendering the SVG marks via a custom `Marks` component.

Rrsulli4

Points on a Map

This example displays a natural Earth projection map with country boundaries, graticules, and city points overlaid as semi-transparent teal circles. The visualization uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses and interior borders from World Atlas TopoJSON data, while a CSV of world cities is mapped through the projection to position each dot. The React component structure manages asynchronous data loading via useWorldAtlas and useCities hooks, with SVG rendering styled through CSS to create a clean, polished aesthetic.

Aaakarsh satyam

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

Points on a map

This example displays a world map with points representing cities, sized by population. The map is rendered as SVG using React, with D3's `geoNaturalEarth1` projection and `geoPath` drawing landmasses, graticules, and sphere outlines. City coordinates are projected onto the map, and circles are scaled with `scaleSqrt`. The code loads world topology from a JSON via `useWorldAtlas` and city data from a CSV using the `csv` utility, styling land areas and points with CSS.

SSai Phaltankar