Fork of Migrant Deaths Linked Views with Fast Brushing

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization combines a world map of migrant deaths with a linked time-series histogram. The map shows circles sized by the total dead and missing, while the histogram displays monthly totals. Users can brush over the histogram to filter the map’s circles to the selected date range. Built with React and D3 v5, the visualization uses `geoNaturalEarth1` and `geoPath` for the map, `scaleSqrt` for circle sizing, and `brushX` for interactive filtering. Data comes from the Missing Migrants Project, and the code leverages `useMemo` for performance optimization.

Llfting96

Fork of Migrant Deaths Linked Views with Fast Brushing

Llfting96

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization combines a natural Earth projection bubble map with a linked time-series histogram to explore migrant deaths and missing persons. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries from World Atlas TopoJSON, with circle sizes scaled by total dead and missing via `d3.scaleSqrt`. A brushable histogram using `d3.brushX` filters map points by reported date, while React’s `useMemo` optimizes rendering performance. Data comes from the Missing Migrants Project CSV subset.

Ffreyr4

Fork of Migrant Deaths Linked Views with Fast Brushing

This visualization shows migrant deaths and missing persons on a world map, with a linked time-series histogram below. Brushing a time range in the histogram filters the map’s bubble radii, which encode total dead and missing counts per location. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries, graticules, and spheres from TopoJSON data, while React’s `useMemo` and `useEffect` manage efficient rendering. The histogram is built with `d3.bin`, `d3.scaleTime`, and `d3.brushX` for interactive filtering.

KKirsten Lund

Fork of Migrant Deaths Linked Views with Fast Brushing

A linked-view visualization combines a bubble map and a time-series histogram to explore migrant deaths. The map projects incident locations using a natural Earth projection, with bubble size scaled by the square root of total dead and missing. A brush on the histogram filters the map's bubbles in real time. The code uses `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.brushX`, and React's `useMemo` for efficient recomputation. Data comes from the Missing Migrants Project, and the visualization leverages D3 v5 and React for rendering.

Ddr-rompecabezas

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a world map and a time-series histogram to explore migrant deaths. The map displays circles sized by the number of dead and missing migrants, while the histogram shows monthly totals. Users can brush over the histogram to filter the map’s circles dynamically. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` for geographic rendering, while the histogram employs `d3.brushX` and `d3.bin` for aggregation. React’s `useMemo` optimizes rendering performance. Data comes from the Missing Migrants Project CSV.

Bbigstonecompany

Fork of Migrant Deaths Linked Views with Fast Brushing

This is a linked-view visualization of migrant deaths and disappearances, showing a world map with circles scaled by the total dead and missing, alongside a time-brushed histogram. The map uses a natural Earth projection with graticules and country boundaries from the World Atlas TopoJSON. Data comes from the Missing Migrants Global 2019 subset, parsed via `d3.csv`. The histograms use `d3.scaleTime` and `d3.histogram` to bin monthly totals, while `d3.brushX` filters the map by date. React's `useMemo` and `useRef` optimize rendering performance.

RRoma

Fork of Migrant Deaths Linked Views with Fast Brushing

This interactive visualization combines a world map of migrant deaths with a linked time-series histogram, enabling rapid filtering through brushing. The map uses a natural Earth projection with `d3.geoPath` to render country boundaries and graticules, while circles sized by `d3.scaleSqrt` represent the total dead and missing per location. The histogram aggregates monthly totals using `d3.bin` and `d3.timeMonths`, with a `d3.brushX` selection that instantly filters the map’s displayed data. Built with React hooks and D3 v5, it renders in SVG from a subset of the Missing Migrants Global dataset.

Cchar0496