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Littrow

The example displays a world map using the Littrow projection, with landmasses in dark gray and country boundaries in white, clipped to a spherical outline. It also overlays a graticule to show latitude and longitude lines. The visualization uses D3 v3 with the `d3.geo.littrow` projection plugin, `d3.geo.path`, and `d3.geo.graticule` to render geographic data from a TopoJSON file containing world land and country boundaries, all drawn as SVG elements.

76% match

Gnomonic

This example shows the world map projected using the gnomonic projection, where great circles appear as straight lines and distortion increases toward the edges. The map is clipped at a 90-degree angle, displaying landmasses in dark gray with white country boundaries over a graticule grid. The visualization uses D3 v3’s `d3.geo.gnomonic` projection and `d3.geo.path` to render SVG paths from TopoJSON world data, with the graticule drawn via `d3.geo.graticule`. The code sets projection scale, translation, and precision before loading the `world-50m.json` file.

75% match

Mollweide

This example shows a world map projected using the Mollweide projection, with graticule lines, land masses in dark fill, and country boundaries in white. The map is rendered as SVG using D3 v3 with the `d3.geo.mollweide` projection, `d3.geo.path`, and `d3.geo.graticule`. Land and boundary data come from a TopoJSON file of world countries, processed with `topojson.feature` and `topojson.mesh`. The code defines sphere, stroke, fill, graticule, land, and boundary CSS classes to style the visual layers.

75% match

Spherical Mercator

The example shows the spherical Mercator projection applied to a world map, displayed within a circular outline that represents the globe. The map renders landmasses in dark gray with white country boundaries, overlaying a graticule grid of meridians and parallels. Built with d3.geoMercator and d3.geoPath, it draws the sphere outline, graticule, and world geography via SVG paths. Geographic data comes from the world-atlas TopoJSON dataset, processed with topojson-client to extract land and country meshes.

Transverse Mercator

This example demonstrates the transverse Mercator map projection, displaying world landmasses and country boundaries within a graticule grid. The map is rendered as SVG using the D3.js library, specifically employing the `d3.geoTransverseMercator` projection and `d3.geoPath` for drawing geometries. World data comes from the `world-atlas` package, processed with `topojson-client` to extract land and boundary features. The visualization includes a spherical outline, a graticule, and styled land and boundary paths, all centered within a 960x960 canvas.

Mollweide Hemispheres

This example displays a world map using the Mollweide projection, interrupted into two hemispheres—northern and southern—which are rotated twenty degrees and centered on a 960-by-500 SVG canvas. The map shows landmasses as dark shapes with white country boundaries, overlaid on a graticule, all clipped to a circular sphere. It uses the `d3.geo.interrupt` and `d3.geo.mollweide.raw` projections with `d3.geo.path`, and renders geographic data from a World 50m TopoJSON dataset, drawing both land polygons and a mesh of country boundaries.

Satellite Projection

This example shows a satellite projection of the United States, with a graticule overlay and land boundaries rendered as SVG paths. The projection is created with `d3.geo.satellite()`, configured with a distance, scale, rotation, center, and tilt to simulate a view from space. The graticule is generated using `d3.geo.graticule()` and the map data is loaded from an external JSON file via `d3.json`. The code uses `d3.geo.path()` with the projection to draw both the graticule and the land polygons, which are converted from TopoJSON using `topojson.feature()`.

Natural Earth

This example demonstrates the Natural Earth projection, a pseudo-cylindrical map projection that balances the appearance of landmasses with minimal shape distortion. It renders a world map from a TopoJSON dataset, displaying country borders and land areas as filled paths, with a graticule overlay and a spherical outline. The visualization uses D3.js v3 with the `d3.geo.naturalEarth` projection, `d3.geo.path`, and `d3.geo.graticule` APIs to draw vector graphics as SVG elements. The code loads world geography data from a gist-hosted JSON file and applies styling for land, boundaries, and graticule strokes.