Skip to main content
SimilarExport ZIP
100%

Fork of Making a world map with city points React and D3

✓ Published1🌍 Public
Bblackbottt
Last edited Jun 6, 2022
Created on Jun 6, 2022

This example visualizes a world map with city points using React and D3. The map displays missing migrant incidents, with circle sizes representing the “Total Dead and Missing” metric via a d3.scaleSqrt. The geoNaturalEarth1 projection renders country boundaries, graticules, and interiors using d3.geoPath, while topojson provides the world-atlas data. City coordinates are projected and plotted as circles, with data loaded from a CSV using d3.csv. The SVG-based rendering uses React components for the atlas and marks.

AI-generated description

working with time weekly_temp SA

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a world map with city points React and D3

This example displays a world map with city points sized by population, built using React and D3. It shows countries with interior boundaries, a graticule, and a sphere background, with city circles projected using the d3.geoNaturalEarth1 projection. The map uses d3.json to load the world-atlas TopoJSON, d3.csv for city data, and d3.geoPath with d3.geoGraticule for rendering. City radii are scaled using d3.scaleSqrt, while d3.max determines the scale domain. The visualization is rendered as an SVG within a React component, using React hooks to manage asynchronous data loading.

Bblackbottt
91% match
Loading thumbnail…

Points on a Map - React, D3

This example displays a world map with city points, using a natural Earth projection to render country boundaries, graticules, and interior borders from World Atlas TopoJSON data. City locations are plotted as semi-transparent circles based on latitude and longitude coordinates loaded from a CSV file. The visualization is built with React for component structure and D3 v5’s `geoNaturalEarth1`, `geoPath`, and `geoGraticule` for map geometry, rendered as SVG elements.

NNelson M
87% match
Loading thumbnail…

Fork of Points on a Map

This visualization displays a world map with city points scaled by population using a square-root scale, rendered using D3.js geo projections and React. The map shows land masses, graticules, and a sphere outline created with the `geoNaturalEarth1` projection and `geoPath` from D3. City data is loaded from a CSV via `d3.csv`, while world atlas topology is fetched and processed with `topojson`’s `feature` and `mesh` functions. The visualization uses SVG circles with a gold fill at reduced opacity to represent city populations, all set against a dark radial-gradient background.

PPeiyang Li
86% match
Loading thumbnail…

Fork of Points on a Map

This example renders a world map using a Natural Earth projection, showing cities with populations over 50,000 as semi-transparent points. The visualization loads geographic boundaries from World Atlas TopoJSON and city data from Simplemaps, then draws them with SVG paths and circles via `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule`. The React components manage data fetching through custom hooks, while D3’s `csv` and `json` methods load the datasets.

Cchar0496
86% match
Loading thumbnail…

Fork of Points on a Map

This interactive world map visualizes the locations of cities and missing migrant incidents using a Natural Earth projection. The view combines graticules, land masses, and country boundaries rendered as SVG paths via d3.geoPath. Circular marks are positioned by projecting longitude/latitude coordinates with d3.geoNaturalEarth1, with city data sourced from Simplemaps and incident data from a CSV file. The visualization is built with React and d3.v5, using topojson for world atlas data processing.

Ttopnep
86% match
Loading thumbnail…

Fork of Points on a Map

This example displays a world map with circles representing cities over 50,000 people, sourced from Simplemaps’ World Cities Database. The map uses a natural Earth projection with graticules and country boundaries from World Atlas TopoJSON. Built with React and D3 v5, it employs `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` to render the geographic features, while city points are positioned via the projection and drawn as translucent SVG circles.

PPratik Raja
86% match
Loading thumbnail…

Fork of Polished World Map(cities)

This D3 visualization presents a world map with city points sized by population, using a Natural Earth projection with graticules, sphere, and country interiors. Built with React, the code uses `geoNaturalEarth1`, `geoPath`, and `geoGraticule` from D3, along with a `scaleSqrt` for circle radii. City data is loaded from a CSV of world cities, while country boundaries come from World Atlas TopoJSON, both rendered as SVG paths and circles.

NNelson Kalgushkin
85% match
Loading thumbnail…

Making a world map React and D3

This example renders a world map using React and D3, displaying countries as filled polygons with black graticules and an amber sphere backdrop. It loads country boundaries from a world-atlas GeoJSON file and uses D3's `geoNaturalEarth1` projection and `geoPath` to convert geographic coordinates into SVG paths. The React component fetches data through a custom `useData` hook, then passes processed topology features and mesh interiors to the `Marks` component for rendering.

Bblackbottt
85% match