Missing Migrants on a Map

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

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

Missing Migrants on a Map

A world map visualizes the locations and magnitudes of missing migrant incidents, with semi-transparent circles sized by the total number of dead and missing per coordinate. The visualization uses D3’s `geoNaturalEarth1` projection and `geoPath` for land and graticule rendering, while a square-root scale maps incident counts to circle radii. React manages the component state, loading CSV data and world-atlas TopoJSON via hooks. The SVG rendering provides a clean overview of global migration-related fatalities.

Vvmonney

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 per event. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and renders landmasses, graticules, and country borders using `d3.geoPath`. Circle radii are scaled with a square-root scale `d3.scaleSqrt` based on the dataset from the Missing Migrants Project, loaded as CSV. The React app fetches world atlas TopoJSON and the CSV data through custom hooks.

KKevin McMorrow

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

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

Missing Migrants on a Map

A world map displays the global distribution of missing migrants, with semi-transparent circles sized by the total number of dead and missing per location. The visualization uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and country borders from TopoJSON data. Circle radii are scaled with `d3.scaleSqrt` based on the dataset's "Total Dead and Missing" values. The React component structure relies on the `useWorldAtlas` and `useData` hooks to load and process the world atlas and CSV data.

LLove Wessman

Missing Migrants on a Map

This visualization maps the global locations of missing migrants, with semitransparent circles sized proportionally to the total number of dead and missing at each coordinate. The map uses a natural Earth projection rendered with d3.geoPath, combining world landmasses, graticules, and country borders from the world-atlas TopoJSON dataset. The CSV data is loaded and parsed with d3.csv, while d3.scaleSqrt maps the migrant counts to circle radii. The React component structure uses useState and useEffect hooks to fetch and display the data as SVG circles.

KKazushige Okuma