Polygon Clipping I

Polygon Clipping II

This example shows how to clip a geographic polygon to a rectangular extent, displaying the original US nation outline in red and its clipped counterpart in black over a blue background. It uses `d3.geoIdentity` with `clipExtent` and `d3.geoProject` to precompute the clipped polygon from TopoJSON data, while `d3.geoPath` renders both the original and clipped features as SVG paths.</svg>

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Polygon Clipping III

This example demonstrates Sutherland–Hodgman polygon clipping by clipping the exterior rings of the United States map to a convex hexagonal region. A blue hexagon serves as the clip boundary, while red paths show the original map rings and black paths display the clipped results. The implementation uses a custom `d3.polygonClip` function from the provided `d3-polygon-clip.js` file, operating on TopoJSON data loaded via `d3.json` and rendered as SVG paths.

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Clipped Map Tiles

This example clips MapBox Natural Earth II raster tiles to the outline of the United States, which is loaded as TopoJSON. Using the d3.geo.tile plug-in and a d3.geo.mercator projection, it generates a grid of image tiles and applies a clipPath referencing the land outline. The stroke class adds a black outline, and the code dynamically selects tile URLs from MapBox subdomains.

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Merging States II

A variation on merging polygons, this example displays a map of the United States where a selected set of states is highlighted in orange. The visualization uses a careful rendering technique rather than topological manipulation to draw the highlighted states, layering a boundary path over the state fill. It employs D3 v3's `d3.geo` and `d3.json` to load US state geometries, along with the TopoJSON library to compute state boundaries and meshes. The rendering is dynamic, with the selected states' boundaries outlined in black to clearly distinguish the merged region.

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U.S. Land TopoJSON

This example displays the outline of the United States as a single dark shape using the TopoJSON `us-10m.v1.json` dataset. The geographic path is rendered from the `nation` object via `topojson.feature`. The map is drawn with D3 v4’s `d3.geoPath` into an SVG, showing the national boundary at a fixed 960×600 viewport. It relies on the topojson client library to decode the compressed geometry for rendering.

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This example displays the geographic boundary of the United States as a single dark green polygon with a red stroke on an aqua background, rendered using SVG. The code loads world country data from the World Atlas TopoJSON source via `d3.json`, converts it using `topojson.feature`, filters for the United States, and projects the path with `d3.geoAlbersUsa` and `d3.geoPath()`. The `geoAlbersUsa` projection is scaled and translated to center the map within the 960 by 500 pixel viewport.

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U.S. TopoJSON

This visualization displays U.S. state and county boundaries extracted from a TopoJSON file served from d3js.org. A blurred, semi-transparent silhouette of the nation appears behind a solid white version, creating a subtle depth effect. The code uses d3.geoPath to render the features, while topojson.feature and topojson.mesh convert the TopoJSON data into GeoJSON paths for drawing.

Albers Projection

This example displays a map of the United States using the Albers projection, with each state drawn as a filled gray polygon with white outlines. The visualization loads GeoJSON data from a remote `us.json` file via `d3.json`, which is then converted into SVG paths using `topojson.feature` and `d3.geo.path()`. The map is rendered as a single SVG path element within a 960×500 canvas, demonstrating a basic static choropleth without additional interactivity or styling layers.