Fork of World_Map_ICE_8

100%

Fork of World_Map_ICE_8

✓ Published0🌍 Public

Last edited Apr 12, 2023

Created on Apr 12, 2023

This is a world map visualization rendered with SVG, depicting country borders and interior boundaries. The map uses an Eckert III projection, with landmasses filled in a light purple and graticules drawn in blue. It displays countries from the world-atlas TopoJSON dataset, with internal boundaries between countries highlighted in red. The visualization is built using React and D3, employing `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` for geographic projections and path rendering, while `topojson.feature` and `topojson.mesh` process the spatial data.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of World_Map_ICE_8

This visualization presents a world map using the Natural Earth projection, with landmasses filled in a soft purple color and country boundaries highlighted in red. Blue graticule lines and a white sphere outline provide geographic context. The map renders as SVG via React, using D3 v5 utilities like `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` for projection and path generation. Country borders are drawn as interiors using TopoJSON mesh data fetched from the world-atlas dataset, loaded with `d3.json` in a React hook.

PPeiyang Li

93% match

Loading thumbnail…

Fork of World_Map_ICE_8

This world map visualization displays global landmasses and country boundaries using the Natural Earth projection. The map renders land areas in purple with red interior borders and blue graticule lines on a white sphere. Data comes from the world-atlas TopoJSON dataset, loaded via d3.json and processed with topojson.feature and topojson.mesh. The visualization uses d3.geoNaturalEarth1, d3.geoPath, and d3.geoGraticule to generate SVG paths, with React components (App, Marks, useData) managing the rendering pipeline.

Aajaysonu

93% match

Loading thumbnail…

Fork of World_Map_ICE_8

This visualization displays a world map using the Natural Earth projection, with landmasses filled in purple and country borders overlaid in red. Graticule lines appear in blue against a white sphere background. Built with React and D3 v5, it loads GeoJSON topology from the `world-atlas` package via `d3.json`, then uses `topojson.feature` and `topojson.mesh` to extract land polygons and interior borders. The `d3.geoNaturalEarth1` projection and `d3.geoPath` render the SVG paths, with `d3.geoGraticule` generating the latitude-longitude grid.

RRinoj-Gautam

92% match

Loading thumbnail…

Fork of World_Map_ICE_8

This visualization presents a world map using the Natural Earth dataset, rendered with D3's geographic projections and React. It displays landmasses in purple, interior boundaries in red, and graticules in blue over a white sphere. The code utilizes D3's `geoNaturalEarth1`, `geoPath`, and `geoGraticule` functions alongside topojson's `feature` and `mesh` methods, with data loaded from the `world-atlas` package via D3's `json` utility.

GGogineni44

91% match

Loading thumbnail…

Fork of World_Map_ICE_8

GGogineni44

91% match

Loading thumbnail…

Fork of World_Map_ICE_8

GGogineni44

91% match

Loading thumbnail…

Fork of WORLD MAP FOR ICE-8

This visualization displays a world map rendered as green countries against a blue spherical backdrop. The map is built using D3.js v5 and the topojson library, with the geoNaturalEarth1 projection and geoPath function generating country boundaries. Country data comes from the world-atlas countries-110m.json dataset loaded via JSON. The React framework is not visibly used in the code; instead, the SVG rendering appends country paths directly after fetching and processing the geographic features.

Eeravellisaimeghana

91% match

Loading thumbnail…

Fork of World_Map_ICE_8

This example displays a world map rendered as an SVG using the Natural Earth projection. The visualization shows landmasses in a purple fill with red country borders and blue graticule lines over a white sphere, all generated with d3.geoPath. The code loads geographic data from a TopoJSON world atlas using d3.json and processes it with topojson.feature and topojson.mesh. React manages the component state through hooks, while the Marks component structures the SVG paths for each geographic layer.

SsreepavanKothapalli

91% match