The Usefulness of stroke-linejoin: round

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This example displays a choropleth-style map of the United States using SVG paths. It renders state boundaries and fills each state as a separate path, with a hover effect that turns states red via CSS. The visualization loads TopoJSON data from a remote URL and converts it to GeoJSON using the `topojson.feature` and `topojson.mesh` APIs. It relies on `d3.geoPath` to project and draw the geographic shapes, while `d3.json` fetches the data asynchronously. State borders are drawn as a white stroke overlay for visual separation.

MMina Rezaei

US State Map with Interaction

This example presents a choropleth-style map of US states with pan and zoom interaction. Built with D3 v5 and rendered as SVG, it uses `d3.geoAlbersUsa`, `d3.geoPath`, and `d3.zoom` to display state boundaries loaded from a TopoJSON file. State names and election data come from a CSV file, though only the names appear as tooltips via appended `title` elements. Hovering highlights a state in red, while the map supports interactive zooming through event-driven transforms.

Ddanrhymes

US_Map

A choropleth-style map displays the contiguous United States with state boundaries, rendered in SVG using React. The visualization uses `d3.geoAlbers` for projection and `d3.geoPath` to draw geographic features, with `d3.geoGraticule` generating graticule lines. Land areas are filled pink, interiors stroked darkblue, and the sphere background is yellow, styled via CSS. Geographic data comes from the US Atlas TopoJSON, processed with `topojson.feature` and `topojson.mesh`.

AAkrutiKhurana2103

US MAP

This interactive visualization displays a choropleth-style map of the United States, rendered as an SVG using React and D3 v5. The map shows state boundaries through purple interior lines, with land areas filled in green against a dark blue sphere background. The code employs `d3.geoAlbers` for the Albers equal-area projection, `d3.geoPath` to generate SVG paths, and `d3.geoGraticule` for grid lines. Geographic data comes from the `us-atlas` TopoJSON file, processed through `feature` and `mesh` from topojson library.

Ssiddu7147

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This example presents an interactive map of the United States using d3.geo.path with an Albers USA projection, rendering state boundaries as SVG paths. Clicking a state triggers a smooth zoom animation that scales and translates the map to center on the selected region, highlighting it in orange. The map is constructed from topojson.feature and include a mesh overlay for state borders. The zoom effect is achieved by transitioning the group element's transform attribute using d3.transition over 750 milliseconds.

Ppcsong33

map: usa, counties

This example renders a choropleth-style map of the United States, displaying county and state boundaries overlaid on landmasses, with graticules and a sphere outline. It uses a React component with `d3.geoAlbersUsa` for projection and `d3.geoPath` for drawing geometries. Data comes from the US Atlas TopoJSON (`us-atlas@3.0.0/counties-10m.json`), processed with `topojson.feature` and `topojson.mesh`. Interactive tooltips show county and state names on hover. The SVG output is styled with semi-transparent fills and distinctive boundary strokes.

Zzach b.

dv.29 - map: usa

This example displays a stylized map of the United States, showing state boundaries and graticules, with land areas shaded and states that highlight on hover. Built with React and D3 v6, it uses `geoAlbersUsa`, `geoPath`, and `geoGraticule` to project and render the map. Data comes from the US Atlas TopoJSON, processed via `feature` and `mesh` from topojson, and is drawn as SVG paths with CSS styling for visual polish.

Zzach b.

Fork of map with points

This example displays a choropleth-style map of the United States rendered as SVG paths, using React to manage component state and the d3.geoAlbersUsa projection with d3.geoPath to draw state boundaries from TopoJSON data loaded via the us-atlas package. The map is populated with geospatial features fetched from a remote URL, while a loading fallback appears until the data arrives. The visualization emphasizes the geographic outlines rather than quantitative values, with a single teal fill applied to all marks.

CChase Hall