Raster & Vector I

Raster & Vector I

This example overlays vector street data from a TopoJSON file onto raster map tiles from OpenStreetMap. The visualization uses d3-tile to fetch and position the image tiles, while d3.geoPath renders a black mesh of road lines over them. The map is centered on Detroit using a Mercator projection configured with d3.geoMercator. Both the raster tiles and the vector streets are drawn as SVG elements, combining the two data types in a single static view. The code also loads the TopoJSON with d3.json and converts it to a mesh using the topojson library.

93% match

Raster & Vector II

A map of the United States uses a red outline to show state boundaries over OpenStreetMap raster tiles. The code combines d3-tile for tile loading, d3.geoMercator and d3.geoPath for reprojecting TopoJSON vectors, and d3-zoom for pan and zoom. On each interaction, the tile set and vector geometry are recomputed rather than relying on a transform, with tiles rendered as SVG images.

84% match

Raster & Vector II

This example presents a hybrid vector-raster map of the United States, seamlessly blending OpenStreetMap raster tiles with red vector state boundaries. The visualization handles interactive pan and zoom, reprojecting the TopoJSON geometry in real time to maintain alignment with the underlying tiles. The implementation leverages d3.geoMercator for projection, d3.tile for raster tile management, d3.zoom for interaction, and d3.geoPath for rendering vector paths. The raster layer is populated with images from OSM’s tile server, while the vector layer uses TopoJSON data from a gist source.

83% match

Raster & Vector III

This example shows how vector geographic features (U.S. counties) can be overlaid on raster map tiles from OpenStreetMap, with both layers staying aligned during pan and zoom interactions. The vector layer is rendered as a single SVG path using `d3.geoPath` and a `d3.geoMercator` projection, while raster tiles are fetched and positioned via `d3.tile` and `d3-zoom`. Instead of reprojecting, the code updates the SVG transform and stroke-width for efficiency, using `d3.zoomIdentity` and the `on("zoom")` event.

83% match

Vector Tiles

This interactive map displays vector tiles of road networks from OpenStreetMap, rendered as SVG paths. It uses Mapzen’s vector tile API to load road data, and d3.geoMercator’s projection with a d3.tile-based tile system to fetch and display 256×256 tiles. The visualization supports pan and zoom via d3.zoom, with a matrix3d transform for scaling and translation. Mouse movement updates a location readout showing latitude and longitude, computed by inverting the projection.

81% match

Raster & Vector 4.0

This example shows an interactive map of the United States with OpenStreetMap raster tiles overlaid by a vector outline of US counties. It combines zooming and panning with a Mercator projection. The code uses D3 v4.0 alpha, the d3-tile library for tile loading, and d3.geoPath with TopoJSON to render county boundaries. As the user zooms, the vector path’s stroke-width adjusts to maintain a constant screen-space width, while the raster tiles dynamically load from OpenStreetMap servers.

81% match

Raster & Vector III

This example demonstrates pan and zoom interactions on a map of US counties, combining raster OpenStreetMap tile images with vector boundaries rendered as red outlines. The code uses d3-tile to load and position raster tiles, and d3.zoom to manage the user-driven transformations. A d3.geoPath with a Mercator projection draws a TopoJSON mesh of counties, while the zoom handler updates both the tile positions and the vector’s transform and stroke-width for efficient performance. The vector data is fetched from a GitHub-hosted TopoJSON file.

80% match

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.