Laskowski Tri-Optimal

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

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.

82% match

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.

81% match

Lagrange

A Lagrange projection of the world is displayed as an SVG, with landmasses in black and country boundaries in white, all enclosed by a graticule and circular sphere outline. The example uses the D3.js v3 library with the `d3.geo.lagrange` projection plugin, rendered through `d3.geo.path` and `d3.geo.graticule`. Geographic data is loaded from a world-50m GeoJSON file via TopoJSON, which provides the land and country features drawn as SVG paths.

79% match

Polyconic

This visualization demonstrates the Polyconic map projection, a compromise projection that preserves distances along the central meridian and each parallel. It displays the world’s landmasses as solid black shapes with white country boundaries, overlaid on a graticule grid and an outlined sphere. The example uses the D3 v3 library with the `d3.geo.polyconic` projection plugin, `d3.geo.path` for rendering, and `topojson.v1` to process world-50m.json geographic data, drawing everything as SVG paths.

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.

Tobler–Mercator

This example demonstrates the Tobler–Mercator projection, a modified Mercator projection that preserves area. The world map is rendered with graticule lines, country boundaries, and a white sphere outline. Built with D3 v4, it combines `d3.geoProjection` with a custom projection function and `d3.geoPath` for geographic rendering. The map uses TopoJSON data from the world-atlas package, with land and country boundary geometries loaded via `d3.json` and processed using `topojson.feature` and `topojson.mesh`. The visualization is fully SVG-based.

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.