missing migrants

100%

missing migrants

✓ Published0🌍 Public

Last edited May 7, 2021

Created on May 7, 2021

This visualization shows a world map with cities that have populations greater than 50,000, sourced from the Simplemaps World Cities Database. Each city appears as a small semi-transparent circle positioned by longitude and latitude. The map uses d3.geoPath with the geoNaturalEarth1 projection, rendering land masses, country boundaries, and graticules from the World Atlas TopoJSON. The React-based code loads the data with d3.csv and d3.json, then draws the SVG marks.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Missing Migrants size on Map

This visualization displays a world map with circles representing cities, where the circle size encodes population using a square root scale. The map uses D3's `geoNaturalEarth1` projection and `geoPath` to render land masses, graticules, and country boundaries from World Atlas TopoJSON. City coordinates from the Missing Migrants dataset are projected and drawn as React-managed SVG circles with `scaleSqrt` determining radius. The visualization is built with React 16.9 and D3 v5, featuring styled land and sphere paths with semi-transparent teal circles.

AAmnaRizvi-S

90% match

Loading thumbnail…

Missing Migrants on a Map

This visualization displays a world map of the Missing Migrants Dataset, where each circle represents a reported event and its size encodes the total number of dead and missing individuals. The map uses a natural Earth projection through d3.geoNaturalEarth1 and d3.geoPath to render landmasses, country borders, and graticules. Data points from a CSV are plotted as semi-transparent circles, with radii scaled using d3.scaleSqrt. The React application loads TopoJSON from World Atlas and SVG is used for all rendering.

Jjwlam83

88% match

Loading thumbnail…

Missing Migrants on a Map

This visualization shows the locations of missing migrants on a world map, using a natural Earth projection to render landmasses and graticules. Each migrant incident is drawn as a semi-transparent circle, with its radius scaled proportionally to the total number of dead and missing via a square-root scale. The map is built with d3.geoPath for geographic features and d3.geoGraticule for the coordinate grid, while data is loaded from a CSV file using d3.csv. The entire SVG is assembled in React, with world atlas topology processed through the topojson library’s feature and mesh functions.

JJohn Huang

88% match

Loading thumbnail…

Missing Migrants on a Map

A world map displays the locations of missing migrant incidents, with semi-transparent circles sized by the total number of dead and missing individuals. The visualization uses D3’s geographic projections (`geoNaturalEarth1`, `geoPath`, `geoGraticule`) combined with React and SVG rendering. Circle sizes are scaled with `scaleSqrt`, and the map includes land masses, interior borders, graticules, and a sphere background. Data comes from a CSV of Missing Migrants Global records, while world geography uses TopoJSON from the world-atlas package.

BBen Brophy

88% match

Loading thumbnail…

Missing Migrants on a Map

This visualization shows the global distribution of missing migrants, with circles sized by the total number of dead and missing individuals at each recorded location. The map uses a natural Earth projection rendered as SVG paths via d3.geoPath, with graticules and country borders from TopoJSON world-atlas data. Migrant locations are loaded from a CSV file, projected through d3.geoNaturalEarth1, and plotted as semi-transparent circles scaled by d3.scaleSqrt. React manages the component state and rendering, while d3's max function determines the domain for the size scale.

Iiblub

88% match

Loading thumbnail…

Missing Migrants on a Map

A world map displays the global distribution of missing migrants, with semi-transparent circles sized proportionally to the total number of dead and missing individuals at each location. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render land masses, graticules, and country interiors from TopoJSON data. Circle radii are scaled using `d3.scaleSqrt` based on the dataset's maximum value. The React component hierarchy manages asynchronous data loading with custom hooks for both the world atlas and the CSV dataset.

MMichael Bruno

88% match

Loading thumbnail…

Missing migrants on a Map

This visualization maps the global distribution of missing migrants, with each semi-transparent circle scaled proportionally to the reported number of dead and missing individuals per incident. The map uses a natural Earth projection rendered via `d3.geoNaturalEarth1` and `d3.geoPath`, with landmasses, graticules, and country interiors drawn from TopoJSON data. Circle radii are determined by a `d3.scaleSqrt` function applied to the 'Total Dead and Missing' field from a subset of the Missing Migrants dataset. React manages the asynchronous loading of both the world atlas and CSV data, while SVG renders all visual elements.

MMatias Conde

88% match

Loading thumbnail…

Missing Migrants on a Map

This visualization displays a world map of missing migrant incidents, with circle markers sized according to the total number of dead and missing individuals at each location. The map uses a natural Earth projection with graticules and country borders rendered as SVG paths, while circles are overlaid with square-root scaling for radius. Built with React and D3 v5, the example loads world atlas topology via the `topojson` library and pulls data from a CSV file. The `geoNaturalEarth1` projection and `geoPath` handle geographic mapping, while circles are positioned using the projection coordinates.

LLaura Johnson

87% match