Lagrange

Larrivée

This example displays a world map using the Larrivée projection, a pseudocylindrical equal-area projection that resembles a flattened globe with curved meridians. Landmasses appear as dark shapes with white country boundaries, set against a graticule and a spherical outline. The map is rendered with SVG via D3’s `d3.geo.path` and the `d3.geo.larrivee` projection from the geo.projection plugin, while TopoJSON data (`world-50m.json`) supplies the land and country meshes. The visualization includes a graticule layer and a white-filled sphere background.

84% match

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.

84% match

August Projection

This example displays a world map using the August projection, a pseudocylindrical equal-area projection that curves parallels and meridians into distinctive intertwined shapes. The map renders land masses in dark gray with white country boundaries overlaid on a graticule, all enclosed within a spherical outline. Using D3 v3, the code employs `d3.geo.august` for the projection, `d3.geo.path` to draw geographic features, and `d3.geo.graticule` for the grid. TopoJSON data provides the world land and country boundaries, loaded from an external JSON file.

82% match

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.

Van der Grinten II

This example displays a world map using the Van der Grinten II projection, rendered as an SVG with landmasses in black and country boundaries in white. The code employs `d3.geo.vanDerGrinten2`, `d3.geo.path`, and `d3.geo.graticule` from the D3 v3 extended projection plugin. It overlays a graticule and loads world-50m.json data via the `topojson` library to draw geographic features.

Craster Parabolic

This example displays a world map projected using the Craster parabolic projection, with graticule lines, country boundaries, and landmasses rendered in SVG. The visualization uses d3.geo.craster from the d3.geo.projection.v0 library, along with d3.geo.path for geographic path generation and topojson.v1 to parse world-50m.json data. A sphere outline and fill are drawn first, followed by graticule and geographic features from the TopoJSON file, with styling applied via CSS classes.

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.

Loximuthal

This example displays a world map using the Loximuthal projection, a pseudocylindrical equal-area projection. The map shows landmasses in black with white country boundaries overlaid on a graticule, all enclosed within a circular sphere outline. The visualization uses d3.geo.loximuthal from the extended geographic projections plugin, along with d3.geo.path and d3.geo.graticule to render the vector data. TopoJSON provides the world-50m geographic data, which is converted to GeoJSON features and meshes for the land and boundary layers.