Kyoto Wifi Map

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.

61% match

Leaflet.js - Simple Map

This example combines Leaflet.js 0.7.7 with D3 v4 to render a GeoJSON map of Japanese prefectures on an interactive tile-less map. The map is centered on Japan, constrained to a bounding box between latitudes 25–50 and longitudes 112–158, with zoom limits of 5–10. D3 loads the local `ken.geojson` file, which Leaflet then draws as semi-transparent white polygon features using `L.geoJson` with a custom style for weight, opacity, and fill. An invisible rectangle marks the allowed viewing area.

61% 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.

Japan Map

This choropleth map of Japan displays its administrative regions in warm red-orange fills against a white background. The visualization uses `d3.geoMercator` for projection, `d3.geoPath` to render geographic features, and `topojson.feature` to convert TopoJSON data. It supports zooming through the D3 zoom behavior, with pan and scale applied to a grouped SVG element. The map is built with React and rendered as SVG, using data loaded from a GitHub Gist.

TTejamod

Leaflet.js × D3.js × geojson-vt.js - Clickeble Canvas Tiles Map

This interactive map displays Japanese municipal boundaries using vector tiles rendered onto Canvas elements within a Leaflet.js map. The visualization employs geojson-vt.js to convert GeoJSON data into tile-based vector features, which are then drawn using D3.js for click interaction handling. Each polygon is rendered with a unique picking color, enabling feature identification through Canvas `getImageData` pixel inspection on mouse events. The map supports zoom-dependent styling with adjustable line widths and dash patterns, showing prefectural city data including Sendai and Ora-machi boundaries.

Fork of Japan Map

This choropleth map of Japan displays prefecture boundaries as red polygons with white strokes on a blank background. The visualization loads geographic data from a GitHub-hosted TopoJSON file and renders it using D3’s `geoPath` with a `geoMercator` projection. Interactive pan and zoom are enabled via D3’s `zoom` behavior, which applies transforms to the SVG group. The map uses static color fill from `scaleOrdinal` and `schemeCategory10`, with no hover or tooltip interactions. D3 version 5 and topojson are loaded via CDN.

NNikhilchiguru-8

Japan Map

This map of Japan displays its prefectures as semi-transparent purple regions, with each area labeled by its name. The visualization uses `d3.geoMercator` for projection and `d3.geoPath` to render GeoJSON features from a TopoJSON source of Japanese towns. A sequential color scale, `interpolatePurples`, shades each state based on its position in the dataset, while text labels are positioned using `pathGen.centroid`. The map is rendered as SVG and supports zooming via D3’s `zoom` behavior.

NNaveenaS12

59% match