Missing Migrants: Multiple Views

Missing Migrants Multiple Views

This visualization presents recorded incidents of missing migrants through two coordinated views. A bubble map uses a natural Earth projection with graticules to plot incident locations, where circle size encodes the total dead and missing count via a square-root scale. Below, a histogram bins incidents by reported date, summing casualties within monthly intervals. Both views render as SVG using React components and D3 v5 APIs, including `geoNaturalEarth1`, `geoPath`, `scaleSqrt`, `scaleTime`, and `histogram`. Data comes from a CSV of global missing migrant incidents, while country boundaries come from the world-atlas TopoJSON dataset.

Nnpelliccia

Missing Migrants - multiple views

This visualization presents the Missing Migrants dataset through two synchronized views: a world map using a bubble chart and a time-series histogram. The map displays circles scaled by the square root of the total dead and missing per location, projected using `geoNaturalEarth1` and `geoPath`. The histogram bins reported dates by month using `d3.bin` and `timeMonths`, summing fatalities per bin. Both views are rendered with SVG via React components, leveraging D3 scales and axes. Data is loaded from a CSV using `d3.csv`.

SSai Phaltankar

Missing Migrants Multiple Views

This visualization combines a bubble map and a histogram to explore the global count of dead and missing migrants. The map uses a natural earth projection to place circles on a world map, where each circle’s radius is scaled to the total number of dead and missing for a given location. A time-series histogram below aggregates the data by month, showing the sum of deaths over time. The map is rendered using D3’s `geoNaturalEarth1` projection and `geoPath`, while the histogram leverages D3’s `bin` and `timeMonths` functions. Both views are built with React, drawing SVG marks.

KKevin McMorrow

Missing Migrants Multiple Views

This visualization combines a geospatial bubble map with a temporal bar chart to examine global migrant deaths. The upper map projects each incident’s coordinates using `d3.geoNaturalEarth1` and `d3.geoPath`, with circle radius scaled by `d3.scaleSqrt` according to the reported dead and missing count. The lower histogram bins incidents by reported date using `d3.bin` and `d3.timeMonths`, aggregating the same count metric. Both views read from a CSV of Missing Migrants Project data, rendered as SVG within a React component.

LLove Wessman

Missing Migrants Multiple Views

This visualization combines a bubble map and a date histogram to explore missing migrant incidents worldwide. The map projects data points using d3.geoNaturalEarth1 and d3.geoPath, with circle radii scaled by d3.scaleSqrt based on the total number of dead and missing. The histogram aggregates incidents by month using d3.bin and d3.timeMonths, summing fatalities per bin. Both views render as SVG within a React framework, pulling data from the Missing Migrants Project CSV and world-atlas TopoJSON.

Rrstrauss127

Missing Migrants - Multiple Views

This interactive visualization combines two coordinated views of missing migrant incidents. A world map uses a natural Earth projection with graticules to display incident locations, with circle sizes scaled by the square root of deaths and missing persons. Below, a time-series histogram bins reported dates into monthly intervals, summing the total dead and missing per month. The map is rendered using d3.geoPath and d3.geoNaturalEarth1, while the histogram leverages d3.bin, d3.scaleTime, and d3.scaleLinear. Data comes from the Missing Migrants Project CSV, loaded with d3.csv, with geographic boundaries from world-atlas TopoJSON.

PPeter Krevenets

Missing Migrants Multiple Views

This interactive visualization presents missing migrant incidents on a world map with proportional bubbles, alongside a time-series histogram of monthly deaths. The React-based interface renders geographic data using `d3.geoNaturalEarth1`, `d3.geoPath`, and `d3.geoGraticule`, with bubble sizes scaled via `d3.scaleSqrt`. The histogram bins reported dates by month using `d3.histogram` and `d3.timeMonths`. Both views display data from a CSV of Missing Migrants Project records, loaded with `d3.csv` and overlaid on a World Atlas TopoJSON basemap.

Jjwlam83

Missing Migrants multiple views

This visualization presents data on missing migrants through two coordinated views. A world map uses circles scaled by the square root of the count of dead and missing individuals, projecting geographic coordinates with `d3.geoNaturalEarth1` and `d3.geoPath`. A time-series histogram below displays the monthly sum of deaths, binned using `d3.histogram` with `d3.timeMonths` thresholds, using `d3.scaleTime` and `d3.scaleLinear` for axes. The data comes from the Missing Migrants Project, and the React-based build relies on `d3.json` and `topojson` features.

Wwindwaver