Basic D3 map (Mercator) d3v4

Basic D3 map (Mercator) d3v4

This visualization displays a basic world map using the Mercator projection, rendered as a single SVG path. The code loads GeoJSON data from an external URL and projects it with `d3.geoMercator()` and `d3.geoPath()`, scaling the projection to fit a 960 by 500 pixel viewport. The map fills the entire screen, with the SVG element sized to the full window. Built with D3 v4, it demonstrates the minimal setup required to draw geographic features from GeoJSON data using the library’s standard geo-path API.

95% match

Basic D3 map (Mercator)

A single SVG path renders a world map using the Mercator projection, with landmasses drawn from a remote GeoJSON file. The map fills the viewport, centered at the default origin. The code uses D3 v3’s `d3.geo.mercator()` and `d3.geo.path()` to project and draw the geometry, loading the data via `d3.json` from the `world-110m.geojson` source. No interaction or additional styling is applied beyond the full-screen SVG container.

93% match

Simple Mercator Map

A world map rendered with a blue fill and black country borders, generated using a D3 Mercator projection. The visualization loads a GeoJSON file of world countries and draws each country as an SVG path element, with the projection scaled and translated to center the map. The example demonstrates a minimal setup for D3 v3 geo mapping, using `d3.geo.mercator()` and `d3.geo.path()` to convert geographic coordinates into SVG paths.

Aadry34160

88% match

Mercator Projection

This example displays a world map using a Mercator projection, with each country rendered as a gray shape outlined in white. The map is built with the D3.js version 3 library, using `d3.geo.mercator()` to define the projection and `d3.geo.path()` to convert GeoJSON geometries into SVG paths. The geographical data comes from a `countries.json` file containing feature collections loaded via `d3.json()`. The resulting visualization, rendered in an SVG element, demonstrates the classic distortion of landmasses toward the poles inherent to this projection method.

PPatrick Wojda

Basic D3 map (live mods) d3v4

This example shows a world map rendered with a stereographic projection, overlaid with populated places as scaled circles. The map uses D3 v4’s `d3.geoStereographic` projection and `d3.geoPath` to draw country outlines from GeoJSON world data. City points come from a second GeoJSON dataset, with circle radius proportional to `pop_max` and color indicating megacity status (dark green) versus other populated places (salmon). The code loads both datasets via `d3.json` and appends SVG circles with opacity for visual clarity.

World Map using Mercator Projection

This example displays a world map using the Mercator projection, rendered as SVG paths with countries filled in white on a blue ocean background. It loads GeoJSON country boundaries from a gist and uses `d3.geoMercator` for projection, `d3.geoPath` to generate the paths, and `topojson.feature` to convert TopoJSON data. A sphere outline is drawn first, and country paths are appended dynamically from the fetched dataset.

Bbhargavarathod

Basic D3 map (Winkel Tripel)

A world map rendered with the Winkel Tripel projection fills the full browser window. The code loads GeoJSON world data from a remote URL and draws it as a single SVG path using D3’s `d3.geo.path` with a `d3.geo.winkel3` projection. The map’s scale and centering are set explicitly, while the SVG resizes to viewport dimensions. D3 v3 and the `d3.geo.projection` plugin provide the projection and rendering, with no interaction or additional styling applied.