Missing Migrants Dataset

Missing Migrants on a Map

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.

RRenato Hermoza Aragonés

Missing Migrants of a map

This visualization maps missing migrant incidents worldwide, with circles sized by the total number of dead and missing per event. The geographic context comes from a world atlas with land, interiors, and graticules rendered using D3’s geoNaturalEarth1 projection and geoPath. A square root scale maps the data’s magnitude to circle radius, and the dataset is loaded via d3.csv from a GitHub gist. The visualization uses React to manage state and render the SVG marks.

Ssophievanderhorst

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

Missing migrans on the World Map

This visualization plots the locations of missing migrants on a world map, with circle size representing the total number of dead and missing individuals per incident. The map uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and country interiors. Data points are positioned by projecting coordinates from the CSV dataset and scaled with `d3.scaleSqrt`. The visualization is built with React and D3 v7, rendering vector graphics as SVG elements.

KKolezhannochka

Missing Migrants Dataset - Map

A world map uses semi-transparent circles to show the geographic distribution of missing migrant incidents, with circle size scaled by the total dead and missing count via a square-root scale. The visualization is rendered in React with SVG, using d3.geoNaturalEarth1 for projection, d3.geoPath for map features, and d3.geoGraticule for grid lines. Data comes from a CSV of missing migrant records, while country boundaries come from the world-atlas TopoJSON dataset.

KK3zter

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

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

Missing Migrants on a Map

This visualization maps missing migrant incidents worldwide using a natural Earth projection. Circles sized by the square root of the total dead and missing count are overlaid on geographic landmasses and graticules, with opacity highlighting incident density. It uses React for component structure, d3.geoNaturalEarth1 and d3.geoPath for projection and rendering, d3.scaleSqrt for radius encoding, and topojson to convert world atlas data. The dataset comes from the Missing Migrants CSV, with coordinates parsed and reversed for plotting.

AAnthony Ynami