Skip to main content
SimilarExport ZIP
100%

map.js

✓ Published0🌍 Public
HhelloHailey-sketch
Last edited Nov 20, 2022
Created on Nov 17, 2022

This visualization shows the cumulative growth of China’s protected geographical indication products from 2003 to 2010. A choropleth map fills each province by the number of products registered up to a selected year, while a bubble map overlays proportional circles at province centroids. An interactive slider updates the year, and radio buttons switch between the two views. The code uses d3.json to load GeoJSON, d3.geoPath and d3.geoMercator for map rendering, d3.scaleThreshold and d3.scaleSqrt for color and size encoding, and d3.zoom for panning and zooming.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

中国地图

A choropleth map of China renders each province as an SVG path using a Mercator projection centered on the country. The D3.js code loads GeoJSON map data and applies a categorical color scale, with provinces highlighted yellow on mouseover. Province names are positioned using projected centroid coordinates, with a vertical offset applied to prevent overlap between Macau and Hong Kong labels. The visualization demonstrates D3’s geographic path generator (`d3.geoPath`) and projection utilities.

Zzhuomo-maker
78% match
Loading thumbnail…

Chinese Map Template

This map of China displays province-level case counts using a bubble chart overlay. Each province is colored with a categorical scheme, and red circles sized by a square-root scale represent the number of cases per region. The visualization uses D3’s geoMercator projection, geoPath for drawing boundaries, and geoCentroid to position circles. Data comes from a local CSV joined with TopoJSON province geometries, with an interactive hover effect highlighting provinces.

LLex
77% match
Loading thumbnail…

Chinese Map Template

This map of China displays province-level data with a proportional symbol overlay, where circle size encodes a numeric value from a local CSV joined to TopoJSON geographic features. Each province is colored with a categorical scale and shows its name on hover. The visualization uses d3.geoMercator for projection, d3.geoPath for rendering SVG paths, d3.geoCentroid for positioning circles, and a custom legend component built with d3.scaleSqrt.

Iinroadings
77% match
Loading thumbnail…

CHINA MAP

This example displays a choropleth map of China’s administrative regions, rendered as brown filled paths with white borders on a light yellow background. The visualization loads GeoJSON data for Chinese provinces and projects it using the equirectangular projection from `d3.geoEquirectangular`, with path generation handled by `d3.geoPath`. Users can pan and zoom the map via `d3.zoom`, which transforms the SVG group containing the state paths. The code integrates React, TopoJSON for feature extraction, and D3’s `scaleOrdinal` and `schemeCategory10` for potential color encoding.

AAISWARYAMARAPATLA1999
76% match
Loading thumbnail…

Fork of Choropleth Map

This example displays a choropleth map of China’s provinces, colored by economic group using an ordinal color scale from `d3.scaleOrdinal` and `schemeSpectral`. It renders geographic boundaries with `d3.geoPath` and a natural Earth projection, and supports interactive pan and zoom via `d3.zoom`. A legend, built with custom SVG circles and text, shows category colors. Province data comes from a local `chinaMap.json` file, with additional metadata merged from a TSV source.

HhelloHailey-sketch
75% match
Loading thumbnail…

visualizing the China map

This example visualizes the country map of China using a D3.js v4 geo projection. The map renders administrative regions as SVG paths, colored green with aquamarine strokes, beneath a purple header. It uses topojson.presimplify and topojson.feature to process geographic data from a GitHub-hosted JSON file. The visualization applies a d3.geoMercator projection fitted to the SVG dimensions via d3.geoPath, and it dynamically redraws the map on window resize using the draw function. The map’s boundaries are simplified based on a threshold within the d3.geoTransform, though the threshold remains at zero, showing all geographic details. The code relies on d3.select, d3.json, and d3.geoTransform to manage the SVG element and projection.

PPrathyusha Jampala
75% match
Loading thumbnail…

Choropleth Tutorial - Leaflet

A choropleth map visualizes food-safety inspection counts across Chinese provinces, with hover interactions revealing province names and defect quantities. Built with Leaflet and D3 v5, the map loads GeoJSON boundaries from `china.js` and applies a color scale based on population density data. Additional charts—a word cloud and two pie charts—are embedded via Observable iframes, while a legend and dynamic tooltip enhance readability. The project integrates Vue as part of its framework stack.

Zzjutkarma
74% match
Loading thumbnail…

CHINA MAP

This example displays a map of China, highlighting its administrative regions in green with yellow borders. Users can pan and zoom the map using mouse interactions, which are enabled through D3's `zoom` behavior. The visualization is rendered as SVG, with geographic paths generated using `d3.geoPath` and a `geoEquirectangular` projection. It loads TopoJSON data from a GitHub gist and uses `topojson.feature` to extract the regions, while D3's `scaleOrdinal` assigns colors from the `schemeCategory10` palette.

SSravani93-creater
74% match