Migrant Map

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 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

Missing migrants on map

This map visualizes the locations of missing migrants, with each circle sized proportionally to the total number of dead and missing individuals at that coordinate. The visualization uses a Natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render world landmasses, graticules, and country borders from TopoJSON data loaded through the World Atlas. Circle radii are scaled using `d3.scaleSqrt`, and the React components fetch data from a CSV of migrant incident coordinates. The semi-transparent teal circles overlay the map, highlighting geographic clusters of migrant disappearances.

Ssurikmeetr

Missing Migrants on a Map

This map visualizes missing migrant incidents worldwide, with each circle positioned at the incident’s coordinates and sized by the total number of dead and missing. It uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath`, rendering landmasses, graticules, and interiors from the World Atlas TopoJSON. Circles scale with `scaleSqrt` based on the CSV data, while React manages state and rendering.

CCodeDuckie99

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

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 Map

A world map displays the locations of missing migrant incidents, with circles sized by the number of dead and missing using a square root scale. The visualization uses d3.geoNaturalEarth1 and d3.geoPath for map rendering, with country boundaries and graticules from TopoJSON. React components manage state and rendering, while d3.csv loads the migrant dataset. Point positions derive from latitude and longitude coordinates, and circle opacity is fixed at 0.3 for visual clarity.

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