Skip to main content
SimilarExport ZIP
100%

Significant Earthquake in World: 1970-2019

✓ Published0🌍 Public
Gguangxinhu
Last edited Oct 31, 2019
Created on Oct 9, 2019

This visualization maps significant earthquakes from 1970 to 2019 on a world map, with bubble size encoding focal depth and color distinguishing tsunami-generating events. Hovering a point filters the display to that event type and reveals its coordinates. The React app uses d3.geoNaturalEarth1 and d3.geoPath to render landmasses from World Atlas TopoJSON, while d3.scaleSqrt and d3.scaleOrdinal map earthquake attributes. Data comes from the NOAA Significant Earthquake Database, loaded via d3.csv.

AI-generated description

This is a visualization of the dataset National Geophysical Data Center / World Data Service (NGDC/WDS): Significant Earthquake Database. National Geophysical Data Center, NOAA significant earthquake database contains information on destructive earthquakes from 1970 to the present. The world map behind the points is a Mercator type map using the World Atlas TopoJSON. The points are off by a small fraction (down and to the left) however it fits much better on the Mercator projection over the Natural Earth projection. When the user hovers over each point, they can see the latitude and logitude of that deployment.

MIT Licensed

Similar vizzes

Loading thumbnail…

Significant Earthquake in World: 1970-2019

This interactive scatterplot visualizes significant earthquakes from 1970 to 2019, plotting attributes like magnitude, focal depth, and year on selectable X and Y axes via React dropdowns. Each point’s color indicates tsunami occurrence, with a color legend that fades non-hovered categories on mouseover. Built with React and D3 v5, the chart uses d3.scaleLinear, d3.scaleOrdinal, and SVG circles for marks, and includes axes rendered via custom React components. Data comes from the NOAA significant earthquake database, loaded as CSV through d3.csv.

Gguangxinhu
92% match
Loading thumbnail…

Earthquakes since 1965

This world map displays significant earthquakes since 1965, using circles sized by magnitude, with tooltips showing country and magnitude. The visualization renders on an SVG canvas using React and D3 v5, employing `geoNaturalEarth1` projection with `geoPath`, `geoGraticule`, and world atlas TopoJSON for land boundaries. Earthquake data comes from a cleaned CSV of the Kaggle USGS dataset. Semi-transparent red circles encode magnitude through a square-root scale, overlaid on light blue oceans and green landmasses.

VVarun Eranki
84% match
Loading thumbnail…

Visualization of Earthquakes since 1965 by position and magnitude

This visualization displays global earthquakes since 1965, with each event marked by a small triangle whose height encodes magnitude and color encodes country. The map uses a natural Earth projection rendered with d3.geoPath, while D3 scales control triangle geometry and color assignment. React manages the component structure, and the dataset comes from the Significant Earthquakes from 1965 Kaggle dataset. Hovering a triangle reveals a tooltip with coordinates, magnitude, and date.

VVarun Eranki
80% match
Loading thumbnail…

Most earthquake prone areas by depth (since 1965)

This visualization displays earthquake-prone areas worldwide since 1965, with each firebrick circle sized proportionally to earthquake depth using a square-root scale. The map uses a Natural Earth projection rendered through React and d3.geoPath, featuring land masses, country interiors, graticules, and a sphere background. Earthquake data, preprocessed from a Kaggle dataset, is loaded via d3.csv, while country boundaries come from World Atlas TopoJSON, processed with topojson’s feature and mesh functions. Circle opacity and size emphasize depth variations across regions.

VVarun Eranki
78% match
Loading thumbnail…

Worldwide Earthquake stats 2000-2015

This visualization displays earthquake statistics from 2000 to 2015, plotting the count of magnitude 8.0+ earthquakes per year as orange circles on an SVG canvas. The data is loaded from a CSV file and rendered using D3 v5’s `scaleLinear`, `axisBottom`, `axisLeft`, and `select` APIs, with gridlines generated via `tickSize`. Circle positions map year and earthquake count through the x and y scales, while axis labels and a title are added as SVG text elements.

Eedxiao97
78% match
Loading thumbnail…

EarthQuakes Bubblegraph

This visualization displays recent significant earthquakes as a bubble graph, plotting each seismic event as a circle positioned by its magnitude. The interactive map, rendered as an SVG canvas, uses mouseover events to highlight individual quakes and display their location and magnitude in a text element. Built with React and D3.v5, the code fetches live data from the USGS Earthquake API, styling each bubble with radius scaled to magnitude and colored by alert level, set against a stylized blue background.

SSreenivasulu
78% match
Loading thumbnail…

1116 Taiwan Earthquake

This visualization explores Taiwan’s earthquake patterns from 1973 to 2024 using a d3-geoMercator map and an interactive scatterplot. Users can filter by year and select attributes for the x-axis, y-axis, and color encoding, while hovering reveals tooltips. The code uses d3.json and d3.csv to load TopoJSON county boundaries and earthquake records, with d3.geoPath rendering the map. A heatmap additionally shows earthquake frequency across magnitude ranges over time, built with d3.scaleOrdinal.

Cchyang.be10@nycu.edu.tw
77% match
Loading thumbnail…

Interactive Visualization (One Menu) - Earthquake Data

This interactive visualization displays earthquake data from 1900 to 1999, combining a world map and a bar chart. The map uses `d3.geoMercator` and `d3.geoPath` to render earthquake locations as circles, with radius representing Richter magnitude. The bar chart aggregates total deaths by region, updating via a dropdown menu that filters data by twenty-year intervals. Both SVG visualizations share the same dataset, loaded from a CSV file, and employ D3 v7’s data-join and transition methods for updates.

JJunying Li
77% match