Missing migrants on a Map

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 visualization displays a world map with circles representing missing migrants, where circle size corresponds to the total number of dead and missing individuals. Using React to render SVG marks, the code employs the D3 library's `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` to draw the sphere, graticules, landmasses, and interiors. Data is loaded from a CSV file containing migrant incident coordinates. Circle radii are determined via a square-root scale mapping the “Total Dead and Missing” values.

Nnpelliccia

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

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 the global distribution of missing migrants, with circle size encoding the total dead and missing per location. The map uses a natural Earth projection rendered via `d3.geoPath`, with land, graticules, and country interiors drawn in SVG. React manages the component state, while D3 scales (`scaleSqrt`) determine circle radii. Data comes from the Missing Migrants Global 2019 subset CSV, loaded with `d3.csv`.

PPedro Henrique Vanali

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 the global distribution of missing migrants, using semi-transparent circles to represent the total number of dead and missing individuals at each recorded location. The geographic context is provided by a natural Earth projection rendered with D3’s `geoNaturalEarth1` and `geoPath`, overlaid with graticules and country boundaries from World Atlas TopoJSON. Circle radii are scaled with a square-root scale based on the data’s maximum value. The React app fetches data from a CSV and JSON from external sources, leveraging `scaleSqrt` and `useWorldAtlas` hooks to load and process both datasets.

Jj-PGi

Missing Migrants on a Map

This map visualizes the locations of missing migrant incidents across the globe, using circle size to represent the total number of dead and missing. Built with React and d3, it renders an SVG using d3.geoPath to draw land and graticule from a world atlas, with circles positioned via d3.geoNaturalEarth1 projection. Data comes from a CSV of the Missing Migrants Project, with circle radii scaled using d3.scaleSqrt.

SSerind Joshua McCue