Skip to main content
SimilarExport ZIP
100%

Missing Migrants Multiple Views

✓ Published0🌍 Public
CChris Briggs
Last edited Nov 18, 2021
Created on Nov 18, 2021

This visualization displays recorded incidents of missing migrants, combining a world map with a time-series histogram to reveal both geographic and temporal patterns. Proportional circles on the map represent the total number of dead and missing per location, while the histogram aggregates these totals by month. Built with React and D3 v5, the map uses `geoNaturalEarth1` and `geoPath` to render land and graticules, and the histogram uses `histogram` and `timeMonths` for binning. Data comes from the Missing Migrants Project subset CSV.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

Inspired by earlier work from 2018: bl.ocks.org: Migrant Deaths over Time.

MIT Licensed

Similar vizzes

Loading thumbnail…

Missing Migrants Multiple Views

This visualization presents two coordinated views of missing migrant incidents reported in 2019. A world map uses scaled circles to show the total dead and missing per location, while a histogram below aggregates the same data by month. The map is rendered with d3.geoPath and a Natural Earth projection, with circles scaled using d3.scaleSqrt. The histogram uses d3.bin and d3.timeMonths to group events, with React managing the component structure.

CCurran Kelleher
95% match
Loading thumbnail…

Missing Migrants on a Map

This interactive visualization combines a world map with a histogram to display missing migrant data over time. A natural Earth projection shows the geographic distribution of incidents, with circle size encoding the total number of dead and missing per location. A date histogram below aggregates these figures by month, using d3.bin and d3.scaleTime for temporal grouping. The visualization is built with React and D3 v5, using d3.geoPath for map rendering and d3.scaleSqrt for proportional circle sizing based on data from the Missing Migrants Project.

BBrian Philip
95% match
Loading thumbnail…

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
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Missing Migrants Multiple Views

This visualization combines a world map and a time-series bar chart to explore data on missing migrants. The map uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses, with circle sizes scaled by the square root of the total dead and missing count. The histogram below aggregates monthly totals using d3.bin and d3.sum, with axes from custom React components. Both views share the same dataset, loaded via d3.csv from a subset of the Missing Migrants Project.

RRMartins11
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Missing Migrants on a Map Multiple Views

This example shows two linked views of missing migrant incidents: a world map with proportional circles marking the total dead and missing at each location, alongside a histogram of monthly totals over time. The map uses a natural Earth projection with graticules and country borders, while the histogram aggregates data into monthly bins. Both views render as SVG using React components and D3 v6 APIs, including `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.scaleSqrt`, and `d3.bin`. Data comes from a CSV of missing migrants, loaded via `d3.csv`.

LLaura Johnson
94% match
Loading thumbnail…

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
94% match