Pixymaps (Dragging)

Pixymaps (Scrolling)

A scrolling map of San Francisco pans continuously leftward, with a tile-based image rendered to a Canvas element. The example uses the `pixymaps` library to manage view coordinates and tile loading, while the D3.js timer drives a subtle acceleration that increases scroll speed. Map tiles are loaded from CloudMade, and the view is projected using `d3.geo.mercator` to center the map. The animation updates the canvas by panning the view and re-rendering the image each frame.

88% match

Map Zooming III

A map of the United States is drawn with canvas, and moving the mouse horizontally smoothly interpolates between three zoom levels centered on San Francisco, New Orleans, and New York. The example uses a linear scale with `d3.interpolateZoom` to map mouse position to a zooming transform, and `d3.geo.transform` for simplification. It renders TopoJSON state boundaries clipped by `d3.geo.clipExtent`, using D3 v3’s `d3.geo.path` with a canvas context.

72% match

Vector Tiles

This example displays a static map of San Francisco’s roads, styled by road type, without panning or zooming. It uses Mapzen vector tiles served as GeoJSON, with the D3.js v3 library and a custom `d3.geo.tile` helper to compute tile coordinates. The SVG paths are rendered via `d3.geo.path` with a Mercator projection, and the code fetches tile data asynchronously using `d3.json`. Road classes like highways and rails are distinguished by CSS classes. Data comes from OpenStreetMap through Mapzen’s vector tile API.

JJuanSMartinez

Vector Tiles

This example displays vector-tiled map data, rendering both road networks and building footprints over San Francisco. The visualization loads GeoJSON tiles from an external OpenStreetMap vector-datasource service and projects them using `d3.geo.mercator` and `d3.geo.path`. It employs the custom `d3.geo.tile` helper to compute visible tile coordinates at the current zoom level, then asynchronously fetches and draws each tile’s features as SVG paths. Road types are distinguished by stroke colors, while buildings appear as solid black polygons.

Map Zooming

This example demonstrates a map zooming animation that alternates between San Francisco and New York, using D3’s zoom transitions. The code renders simplified U.S. state boundaries on a Canvas element via `d3.geo.path` with a custom `d3.geo.transform` for adaptive simplification. It uses `d3.behavior.zoom` to compute translations and scales, and `topojson.presimplify` to preprocess the TopoJSON data source. The continuous back-and-forth zoom is driven by chained transitions with a repeating `jump` function.

Map Pan & Zoom IV

This example demonstrates fast map panning and zooming on a Canvas. It uses pre-projected geometry from a `world.json` file, rendered via d3.geo.path. Pan and zoom use `d3.behavior.zoom`, with dynamic simplification via a custom `d3.geo.transform` and viewport clipping via `d3.geo.clipExtent`. The map shows country boundaries and a sphere outline.

Drag & Zoom

This example combines `d3.drag` and `d3.zoom` on a Canvas to allow both panning the view and moving individual points. Clicking and dragging on the background pans the zoomable world, while dragging on a circle moves that circle in world coordinates. The code explicitly converts between pointer coordinates and world coordinates using the zoom transform’s `invertX`/`invertY` and `applyX`/`applyY` methods. It renders 2,000 points generated by a phyllotaxis pattern, drawn as a single Canvas path with `arc` calls.

70% match

Map Pan & Zoom III

A world map rendered on a Canvas element supports pan and zoom interactions via the d3.behavior.zoom API. The map uses pre-projected geographic geometry from a TopoJSON file, with d3.geo.path using a null projection so that only the canvas transform changes during zoom, avoiding re-projection. Country boundaries and land masses are drawn as filled and stroked paths, with strokes scaled inversely to maintain constant width.