Missing Migrants on a Map

Missing migrants

This visualization maps the global distribution of missing migrants, with circle size proportional to the total number of dead and missing individuals per location. It uses a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath` to render landmasses, graticules, and country boundaries from TopoJSON data. Migrant incident coordinates are projected and drawn as semi-transparent circles scaled with `d3.scaleSqrt`. The data comes from a CSV of the Missing Migrants Project, processed through React hooks and rendered as SVG.

Ppatasky

Missing Migrants on a Map

This visualization maps the global distribution of missing migrants from 2014 to 2021, using a natural Earth projection rendered with `d3.geoNaturalEarth1` and `d3.geoPath`. Each circle represents a recorded incident, with its radius scaled proportionally to the total number of dead or missing via a square-root scale. The map overlays land polygons and country borders from the world-atlas TopoJSON dataset onto graticule lines. React manages the component hierarchy, while D3 loads the CSV data and handles geographic projections, all rendered as SVG elements with semi-transparent teal circles.

JJun Suzuki

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

Missing Migrants on a Map

This map visualizes the global distribution of missing migrants, with circle size proportional to the total number of dead and missing per location. Using D3’s `geoNaturalEarth1` projection with `geoPath`, the visualization renders landmasses and graticules, while `scaleSqrt` encodes data values into circle radii. Data comes from a CSV of Missing Migrants incidents, loaded via `d3.csv`, and the world atlas is fetched as TopoJSON and converted to GeoJSON using `topojson.feature`.

Jjbruzzo

Missing migrants on a Map

This map visualization shows the global distribution of missing migrants, with the size of each circle representing the total number of dead and missing individuals at a given location. The visualization uses a natural Earth projection and overlays semi-transparent circles on a world map, alongside graticules and country borders for geographic context. Built with React and D3 v5, the code employs `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule` to render the map, while a square root scale (`d3.scaleSqrt`) maps the migrant counts to circle radii. Data comes from a CSV file of the Missing Migrants Project, with geographic coordinates parsed and projected onto the SVG canvas.

Bbsolomon103

Missing Migrants on a Map

This map visualization displays the global distribution of missing migrants, with circles sized by the total number of dead and missing individuals per location. Using a natural Earth projection via `d3.geoNaturalEarth1` and `d3.geoPath`, it renders land masses, graticules, and country interiors as SVG paths. Circle radii are scaled with `d3.scaleSqrt` based on the data’s maximum value. The data is loaded asynchronously from a CSV using D3’s `csv` utility, while world map topology comes from a JSON file processed with TopoJSON’s `feature` and `mesh` functions. React hooks manage the loading state.

LLewis Ward

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

Missing Migrants on a Map

This visualization maps the global distribution of missing migrants, with circle size encoding the total number of dead and missing per reported location. The map uses a natural Earth projection via `geoNaturalEarth1` and renders geographic features with `d3.geoPath`, including land masses, graticules, and interiors. The React app loads CSV data from a GitHub gist using D3’s `csv` parser, while world topology comes from the world-atlas package. The size scale uses `scaleSqrt` to map values to circle radii, and SVG circles are positioned using the projection’s coordinate output.

NNikita Toropov