Points On A Map IV

100%

Points On A Map IV

✓ Published1🌍 Public

Last edited Aug 14, 2021

Created on Aug 14, 2021

This example displays a world map with cities plotted as semi-transparent circles, where the circle size encodes each city’s population using a d3.scaleSqrt. The map uses a d3.geoNaturalEarth1 projection and d3.geoPath to render landmasses, graticules, and country boundaries from world-atlas TopoJSON data. City coordinates and populations come from a Simplemaps CSV loaded via d3.csv. The visualization is built with React components, rendering SVG marks and styled with CSS classes for land, sphere, interiors, and graticules.

AI-generated description

Points on the world map using d3 A dataset of cities of the world from Simplemaps Constructed by Niran Software Solution

MIT Licensed

Similar vizzes

Loading thumbnail…

Points on a map

This example displays a world map with cities plotted as semi-transparent circles, where circle size reflects each city’s population. It uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render land, graticules, and country borders from TopoJSON data. City coordinates and populations come from a CSV loaded with `d3.csv`, and circle radii are scaled with `d3.scaleSqrt`. The visualization is built with React hooks for data fetching and renders as SVG.

LLewis Ward

94% match

Loading thumbnail…

Points on a Map

This example displays world cities as semi-transparent circles on a natural Earth projection, with circle size encoding each city's population. The map renders landmasses and country borders from the world-atlas TopoJSON dataset, with graticules and a sphere outline providing geographic context. Using React hooks to load data asynchronously, the visualization applies d3.geoNaturalEarth1 and d3.geoPath for projection, d3.scaleSqrt for radius scaling, and maps city coordinates through the projection to position SVG circles.

Jjbruzzo

94% match

Loading thumbnail…

Points on a Map

This visualization displays world cities as semi-transparent circles overlaid on a natural Earth projection map, with circle size encoding population via a square root scale. The map includes land masses, country borders, graticules, and a sphere outline. React manages the component structure, while D3 v7 handles geo projection and path generation through `d3.geoNaturalEarth1` and `d3.geoPath`. City data comes from a CSV loaded with `d3.csv`, and world geography uses TopoJSON from the world-atlas package, rendered as SVG.

KK3zter

93% match

Loading thumbnail…

Points on a Map (cities)

A world map displays cities as semi-transparent circles sized by population, with landmasses, graticules, and interior borders rendered via d3.geoPath and geoNaturalEarth1. The projection maps latitude and longitude to SVG coordinates, while a d3.scaleSqrt converts population values to circle radii. Data comes from a CSV of world cities, and the map uses React hooks to load TopoJSON world-atlas geometry.

AAnthony Ynami

93% match

Loading thumbnail…

Points on a Map

A world map displays cities as semi-transparent, radius-scaled circles proportional to population, using a Natural Earth projection. The visualization, built with React and D3 (v5), renders SVG paths for land, graticules, and sphere outlines via `geoPath`, while circles are projected using `geoNaturalEarth1`. City data comes from a CSV of world cities, and the map’s geographic basemap is provided by the `world-atlas` TopoJSON, processed through `topojson.feature` and `topojson.mesh`.

RRajat Dangat

93% match

Loading thumbnail…

Points on a Map

This example displays a world map with cities whose populations exceed 50,000, plotted as semi-transparent circles. The map uses a Natural Earth projection via `d3.geoNaturalEarth1`, with landmasses, graticules, and country interiors drawn using `d3.geoPath` from the World Atlas TopoJSON dataset. City coordinates are projected from latitude and longitude into SVG circle positions, with the data loaded from a Simplemaps CSV via `d3.csv`. The rendering is handled in React, producing a clean, styled SVG visualization.

GGiovanniD_

93% match

Loading thumbnail…

Points on a Map

A world map displays cities with populations over 50,000 as semi-transparent points. The visualization uses D3’s `geoNaturalEarth1` projection and `geoPath` to render landmasses, country interiors, and graticules from TopoJSON data. City coordinates are projected and drawn as SVG circles, with data loaded from a CSV via `d3.csv` in React hooks. The map prioritizes geographic context over point density, using a light gray palette for boundaries and teal circles for city locations.

FFonda Irena Santoso

93% match

Loading thumbnail…

Points on a Map

This example displays a stylized world map with semi-transparent, scaled circles marking the population of cities. The visualization uses a Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render land masses, graticules, and country interiors from a TopoJSON world atlas. City coordinates are projected onto the SVG canvas, with circle radii determined by a square root scale (`d3.scaleSqrt`) based on population data loaded from a CSV. The React application manages data fetching with custom hooks, while the `Marks` component renders the geographic layers and city points.

MMilena Belianovich Holtman

93% match