Fork of Points on a Map

Fork of Points on a Map

This visualization displays a world map populated with circles representing cities with populations over 50,000. The map uses a Natural Earth projection with visible graticules, country boundaries, and landmasses rendered in muted grays. City coordinates are projected from longitude and latitude data using D3’s `geoNaturalEarth1` and `geoPath`, with circles drawn as SVG elements. The example is built with React, relies on D3 v5 for data loading and projection, and sources city data from Simplemaps and country boundaries from the World Atlas TopoJSON.

SSam

Fork of Points on a Map

This example shows a world map of cities with populations above 50,000, plotted as small teal circles over light gray landmasses and graticules. The visualization uses React to render SVG elements, with D3 v5’s `geoNaturalEarth1`, `geoPath`, and `geoGraticule` for map projections and boundary lines. City coordinates come from a Simplemaps CSV, while country outlines derive from TopoJSON world atlas data, with interiors drawn as mesh strokes.

Vvigneswaran009

Fork of Points on a Map

This example shows a world map with cities of population over 50,000 plotted as small, semi-transparent dots. The map uses a natural Earth projection with graticules and country borders rendered via `geoPath` and `geoNaturalEarth1` from D3 v5. City positions are projected from latitude and longitude coordinates loaded from a CSV file, while country boundaries come from the World Atlas TopoJSON. The visualization is built as a React component, with SVG circles representing the cities and styling applied through CSS.

Sstefanpullen

Fork of Points on a Map

This example displays a world map with cities having populations over 50,000, plotted as semi-transparent teal circles. It uses a natural Earth projection via `geoNaturalEarth1` and renders both graticules and country interiors with `geoPath`. The map is built with React, loading geographic data from World Atlas TopoJSON and city coordinates from a Simplemaps CSV. City positions are projected using `[d.lng, d.lat]` to determine circle placement within an SVG.

Ddas888530

Fork of Points on a Map

This example shows a world map with graticules and country boundaries, overlaid with small circles representing cities with populations over 50,000. The map uses the `geoNaturalEarth1` projection and `d3.geoPath` to render land, sphere, and graticule paths from TopoJSON data. City positions are projected from latitude and longitude coordinates, and each city is drawn as an SVG circle with opacity. The visualization is built with React and D3 v5, loading data from a CSV of world cities and the World Atlas TopoJSON.

DDhrubojyoti Barman

Fork of Points on a Map

This example displays a world map with circles marking cities whose populations exceed 50,000, using data from Simplemaps. The visualization renders geographic features with d3.geoPath and geoNaturalEarth1, including land masses, graticules, and country interiors. City coordinates are projected onto the SVG using the same projection, with semi-transparent circles indicating locations. The map is built with React hooks, d3.v5, and TopoJSON for world atlas data.

Mmmei-d

Fork of Points on a Map

This visualization shows a world map with dots marking cities whose population exceeds 50,000, plotted using the Natural Earth projection. The map displays country boundaries and graticules for geographic context, with cities rendered as semi-transparent circles. Built with React and D3 v5, the example uses `geoNaturalEarth1`, `geoPath`, and `geoGraticule` to project and draw geographic features, while TopoJSON provides land and interior mesh data. City coordinates come from a CSV file sourced from the Simplemaps World Cities Database, and all marks are rendered as SVG elements.

AARAVIND MJ

Fork of Points on a Map

This example displays a natural Earth projection world map with cities over 50,000 people plotted as small circles. The visualization uses D3 v5’s `geoNaturalEarth1` and `geoPath` for map geometry, with graticules and country borders styled via CSS. City coordinates are projected from latitude and longitude, and React manages the SVG rendering. Mouse hover changes a city’s fill color. Data comes from a Simplemaps world cities CSV, while country boundaries use the World Atlas TopoJSON.

DDan Peerapatanapokin