Miller

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.

77% match

Cylindrical Stereographic

A world map is rendered using the cylindrical stereographic projection, showcasing global landmasses and country boundaries over a graticule grid. The visualization uses the `d3.geoCylindricalStereographic` projection from the d3-geo-projection plugin, with `d3.geoPath` drawing the geographic features. Land areas are filled dark, while country borders appear as white lines, and the sphere outline is traced in black. The map is built from TopoJSON world data loaded via `d3.json`, with geographic features extracted using the `topojson.feature` and `topojson.mesh` APIs.

d3v5 - Selective Projection Map

This example visualizes a world map with a dropdown menu to switch between over 40 different geospatial projections, including Miller, Mercator, and Robinson. The map is rendered as SVG using d3.geoPath, while the projection options are defined with d3-geo-projection methods like d3.geoMercator and d3.geoMiller. World coastlines come from a GeoJSON file, and a graticule and sphere outline are added to each view.

HHirosaji

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.

Berghaus Star

This visualization displays a world map using the Berghaus star projection, a polyhedral layout that unfolds the globe into a star-like shape with pointed lobes. The map shows landmasses in dark gray, country boundaries as white lines, and a graticule grid, all rendered as SVG. The code uses d3.geo.berghaus, d3.geo.path, d3.geo.graticule, and topojson to load and project world-50m.json data, with a clip path limiting shapes to the sphere.

Stereographic

A world map is displayed using the stereographic projection, showing landmasses in dark gray and country boundaries in white over a graticule grid. The projection rotates the globe by -20 degrees longitude and clips the view to a square. Built with D3 v3, the example uses `d3.geo.stereographic`, `d3.geo.path`, and `d3.geo.graticule`, rendering SVG paths from TopoJSON world data. The graticule is drawn beneath the land and boundary layers.

75% match

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.

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.