Mapbox - Extruding circles (simple)

Mapbox - Extruding circles (stacked)

This example visualizes Japanese towers with observation decks using Mapbox GL JS and D3 v5. It renders filled 3D extruded circles on a map, with the stacked heights representing each tower’s total height and its observation deck altitude, colored blue and red at hover. The code loads tower height data from a CSV, geocodes points, and uses Turf.js to create circular polygons that are extruded via Mapbox’s fill-extrusion layers and feature-state hover styling.

93% match

Mapbox - Extruding circles (choropleth)

This map visualization shows the locations and heights of Japanese towers with observation decks, using extruded circles on a 3D Mapbox globe. The towers are colored on a yellow-to-red scale based on total height, and hovering over a polygon changes its color to a blue-green scheme and displays the tower's name and height in a white info panel. Built with Mapbox GL JS and d3.v5, the code loads tower data from a CSV, projects point locations into circular polygons using the Turf library, and applies `fill-extrusion` layers with feature-state hover styling. The data comes from the Kiso Sansen National Government Park website and the Social Atlas of Japan.

93% match

Mapbox - Extruding circles (gradient)

A Mapbox GL map visualizes Japanese towers with observation decks, displaying each as a stack of extruded circular layers whose heights encode tower height. D3.js parses CSV data, while Turf.js generates circular geometries at each tower’s coordinates, and Mapbox’s fill-extrusion layers render them with a gradient color scale. Hover interactions reveal the tower name and heights, sourced from the Kiso Sansen Park and social statistics datasets.

91% match

leaflet - Markers on map

This example uses the Leaflet mapping library to place interactive markers on a tile-based map of Tokyo. A small CSV dataset provides the station names and geographic coordinates for each marker, which are loaded with d3.csv. The map background is rendered using Mapbox tile layers, and each station marker is bound to a popup that displays its name. The visualization combines Leaflet’s map interactions with D3’s data-loading capabilities to create a straightforward geographic point display.

70% match

Let's make a JPN map with D3.js!

This example displays a black-and-white map of Japan with prefecture boundaries rendered as white strokes, using the jpn-atlas dataset as its geographic source. It loads the data from a remote JSON file and applies a Mercator projection through `d3.geoMercator` and `d3.geoPath` to generate SVG paths for each prefecture. The code uses `topojson.feature` to convert the TopoJSON into GeoJSON, then binds the features to path elements in the SVG. The visualization demonstrates a straightforward D3 v5 workflow for choropleth preparation.

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leaflet - Map with D3.js outline

This example combines Leaflet with D3.js to render a geographic map of Japanese prefectures. It displays a GeoJSON polygon of Tottori Prefecture, overlaid on a tile layer from the Geospatial Information Authority of Japan. The code uses Leaflet’s `L.map` and `L.tileLayer` for base tiles, while D3’s `d3.geo.path` with a custom `d3.geo.transform` projection converts latitude/longitude coordinates to screen points via `map.latLngToLayerPoint`. The D3-selected SVG paths are redrawn on Leaflet’s `viewreset` event.

A basic map with MapboxGL.js

This example shows a basic interactive map of the Netherlands, displaying earthquake data as colored circles and extruded 3D buffers. The map uses MapboxGL.js v0.44.0 to render vector tiles from the PDOK topotiles service and GeoJSON point and buffer data from GitHub. Circle radius and fill-extrusion heights are interpolated based on zoom level, while colors are assigned categorically by earthquake type. The code defines a full Mapbox style object inline, including sources, layers, and paint properties.

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d3.carto - Basic d3.carto Map

This map uses the d3.carto.map plugin to render a single GeoJSON layer of world country boundaries, styled with a blue fill and black strokes. The page loads the map into a full-screen div, applies zoom/pan controls via the plugin's built-in interface, and enables clickable features for interactivity. Data comes from a local world.geojson file, with countries drawn as SVG polygons; the accompanying CSS defines the visual styling for map elements, controls, and modal dialogs.

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