Missed Migrants on a Map and Date Histogram

100%

Missed Migrants on a Map and Date Histogram

✓ Published1🌍 Public

Last edited Apr 20, 2021

Created on Apr 20, 2021

This visualization combines a proportional-symbol world map with a time-series histogram to explore migrant deaths and disappearances. The map uses `d3.geoPath` and `d3.geoNaturalEarth1` to project circular marks scaled by the square root of the “Total Dead and Missing” count, overlaid on land and graticule outlines. A date histogram below aggregates these counts by month, using `d3.bin` and `d3.timeMonths`, with bars colored to match the map’s teal palette. Data is loaded via `d3.csv` from a Missing Migrants Project subset.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Missing migrants map and histogram

This visualization combines a natural Earth projection bubble map with a time-series histogram to show the geographic distribution and monthly totals of missing migrants. The map uses d3.geoNaturalEarth1 and d3.geoPath to render country boundaries, with circle areas scaled by the square root of deaths via d3.scaleSqrt. The histogram below bins reported dates into monthly intervals using d3.histogram and sums the corresponding casualties. Data comes from the Missing Migrants Project CSV, loaded via d3.csv, with React managing the composite SVG layout.

AAndrea Picciau

93% 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

93% match

Loading thumbnail…

Missing Migrants Map + Histogram Combined

This visualization combines a world map with a time-series histogram to explore migrant deaths and disappearances. The map uses a natural Earth projection with proportional circles sized by the total dead and missing per location, while the histogram shows monthly totals over time. The code applies d3.geoPath for map rendering and d3.bin with time thresholds for histogram aggregation. React manages the component structure, with data loaded from a CSV of the Missing Migrants Project. SVG rendering renders both the map and the histogram, with a square root scale controlling circle radii.

BBen Brophy

93% match

Loading thumbnail…

Missing Migrants on a Map and Histogram

The visualization combines a world map and a time-series histogram to show the locations and monthly counts of missing migrants. The bubble map uses `d3.geoNaturalEarth1` and `d3.geoPath` to render land and graticules, with circle sizes scaled by `d3.scaleSqrt` based on the ‘Total Dead and Missing’ value. The histogram uses `d3.scaleTime`, `d3.scaleLinear`, and `d3.histogram` with monthly bins, displaying the same metric over time. Data comes from a CSV of Missing Migrants, and the SVG is rendered using React with D3 v5.

Ccshm407

92% match

Loading thumbnail…

Missing Migrants on a Map with Size + Date Histogram

This visualization combines a world map with a date histogram to explore missing migrant incidents. The map uses a square-root size scale to encode the total dead and missing per event, plotted as semi-transparent circles over a natural Earth projection rendered with `d3.geoPath`. The histogram below aggregates the same data by reported date and total casualties using `d3.histogram` and `d3.timeMonths`. Both views are built with React and rendered as SVG, with the map using D3 v5’s `geoNaturalEarth1` projection and the histogram using linear and time scales, all sourced from a CSV of global missing migrant records.

CChris Knight

92% match

Loading thumbnail…

Missing Migrants on a World Map w/ Histogram

This visualization combines a natural Earth projection world map with a monthly histogram to show the global distribution and temporal trends of missing migrants. Bubble sizes on the map encode the total dead and missing per location using a square-root scale. The histogram bins the data by month using `d3.bin` and `d3.timeMonths`, summing deaths per bin. Built with React and D3 v7, it uses `d3.geoPath` for map rendering and draws directly to SVG. Data comes from a CSV of migrant incidents and a 50m TopoJSON world atlas.

Hhunsingeruk@gmail.com

92% match

Loading thumbnail…

Missing Migrants on a map v2

This visualization combines a world map and a time-series histogram to show the locations and monthly counts of dead and missing migrants in 2019. The map uses `d3.geoNaturalEarth1` projection and `d3.geoPath` to render country outlines, graticules, and sphere, with semi-transparent circles scaled by `d3.scaleSqrt` based on the total dead and missing per incident. A linked histogram below, built with `d3.bin` and `d3.timeMonths`, aggregates the same data over time. The code uses React and D3 v7 with data loaded via `d3.csv` and TopoJSON world atlas from unpkg.

JJohn Lewis

92% match

Loading thumbnail…

Missing Migrants Multiple Views

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.

CChris Briggs

92% match