Missing Migrants on a Map

100%

Missing Migrants on a Map

✓ Published0🌍 Public

Last edited Nov 6, 2020

Created on Nov 6, 2020

This interactive SVG world map visualizes the Missing Migrants Dataset, where each circle represents a migration incident and its area encodes the total number of dead and missing persons. The visualization uses a Natural Earth projection via `geoNaturalEarth1` and `geoPath` from D3, with country boundaries and graticules drawn from World Atlas TopoJSON data. Point radii are determined by a square-root scale (`scaleSqrt`) mapping the maximum casualty count to 15 pixels. The implementation leverages `d3.csv` for data loading, `topojson.feature` and `mesh` for topology processing, and React with D3 for component rendering.

AI-generated description

A world map of the Missing Migrants Dataset.

Each point in the plot represents a single event.

Country boundaries from World Atlas TopoJSON.

MIT Licensed

Similar vizzes

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

96% 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

95% match

Loading thumbnail…

Missing Migrants on a Map

A world map displays the locations of missing migrants, with semi-transparent circles sized by the total number of dead and missing per incident. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath`, with graticules and country boundaries from World Atlas TopoJSON. Circle radii are scaled using `d3.scaleSqrt` based on the maximum death toll, and React manages the SVG rendering. Data comes from the Missing Migrants Global 2019 CSV, loaded with `d3.csv`.

TTsaiJie

95% match

Loading thumbnail…

Missing Migrants on World Map

This interactive map visualizes the geospatial distribution of missing and dead migrants worldwide, with circle size encoding the total number of casualties per incident. Built with React and D3 v6, it renders a natural Earth projection using `geoNaturalEarth1` and `geoPath`, overlaying graticules, landmasses, and country borders from the World Atlas TopoJSON dataset. Migrant incident data from a CSV file is projected onto the map, with point radii scaled by a square-root scale. The visualization uses SVG for crisp rendering and semi-transparent white circles to convey density.

PPadoSensei

95% 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

95% match

Loading thumbnail…

Missing Migrants on a Map

A world map displays the locations of missing migrants, with each incident represented by a semi-transparent circle whose area encodes the total number of dead and missing. The visualization uses a Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath`, rendering landmasses, graticules, and country borders from World Atlas TopoJSON. Circle radii are scaled with `d3.scaleSqrt` based on the data’s maximum value from the Missing Migrants Project CSV. The example is built in React, using `useEffect` to load TopoJSON and CSV data through `d3.json` and `d3.csv`, with SVG output.

Ppnlinyz

95% match

Loading thumbnail…

Missing Migrants on a Map

A world map visualizes missing migrant incidents, with each semi-transparent circle representing a single event and sized proportionally to the total number of dead and missing. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and country boundaries from World Atlas TopoJSON. Circle radii are scaled using `d3.scaleSqrt`, and the data comes from the Missing Migrants Dataset CSV, processed with React hooks and rendered as SVG.

CChris Briggs

95% match

Loading thumbnail…

Missing Migrants on a Map

This visualization maps the Missing Migrants Dataset, showing each migrant event as a circle on a world map. Circle size encodes the total number of dead and missing per event using a square-root scale. The map is rendered with SVG using D3’s `geoNaturalEarth1` projection and `geoPath`, with graticules and country boundaries from World Atlas TopoJSON. The React-based interface loads data via `useData` and `useWorldAtlas` hooks, styling circles with low opacity to reveal overlapping incidents.

SStefan Du Plessis

95% match