EQviz: A visualization tool for monitoring world earthquakes

Copyright 2015 © ACM. This paper presents EQviz, a visualization tool for monitoring earthquakes with the magnitude of 6.0 or larger that take place around the world from 2000 to 2015. EQviz provides four modes of display: instant, aggregate, analysis, and selected area modes. Instant mode displays...

Full description

Saved in:
Bibliographic Details
Main Authors: Nitchanan Prapaitrakul, Santi Phithakkitnukoon
Format: Conference Proceeding
Published: 2018
Subjects:
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962489920&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44191
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Chiang Mai University
id th-cmuir.6653943832-44191
record_format dspace
spelling th-cmuir.6653943832-441912018-04-25T07:46:47Z EQviz: A visualization tool for monitoring world earthquakes Nitchanan Prapaitrakul Santi Phithakkitnukoon Agricultural and Biological Sciences Copyright 2015 © ACM. This paper presents EQviz, a visualization tool for monitoring earthquakes with the magnitude of 6.0 or larger that take place around the world from 2000 to 2015. EQviz provides four modes of display: instant, aggregate, analysis, and selected area modes. Instant mode displays an animation of a series of earthquake instances taking place in different geographical locations globally over time. Aggregate mode displays the aggregate level of instances of the earthquakes over time. Analysis mode provides a yearly graphical information along with some basic statistics for the user's further analysis. Selected area mode extends the analysis mode by allowing the user to look through the world map and examine different geographical areas as the EQviz provides basic statistics such as the average and standard deviation values of the earthquake magnitudes along with the graphical information of the selected area. 2018-01-24T04:39:09Z 2018-01-24T04:39:09Z 2015-09-07 Conference Proceeding 2-s2.0-84962489920 10.1145/2800835.2800985 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962489920&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44191
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Nitchanan Prapaitrakul
Santi Phithakkitnukoon
EQviz: A visualization tool for monitoring world earthquakes
description Copyright 2015 © ACM. This paper presents EQviz, a visualization tool for monitoring earthquakes with the magnitude of 6.0 or larger that take place around the world from 2000 to 2015. EQviz provides four modes of display: instant, aggregate, analysis, and selected area modes. Instant mode displays an animation of a series of earthquake instances taking place in different geographical locations globally over time. Aggregate mode displays the aggregate level of instances of the earthquakes over time. Analysis mode provides a yearly graphical information along with some basic statistics for the user's further analysis. Selected area mode extends the analysis mode by allowing the user to look through the world map and examine different geographical areas as the EQviz provides basic statistics such as the average and standard deviation values of the earthquake magnitudes along with the graphical information of the selected area.
format Conference Proceeding
author Nitchanan Prapaitrakul
Santi Phithakkitnukoon
author_facet Nitchanan Prapaitrakul
Santi Phithakkitnukoon
author_sort Nitchanan Prapaitrakul
title EQviz: A visualization tool for monitoring world earthquakes
title_short EQviz: A visualization tool for monitoring world earthquakes
title_full EQviz: A visualization tool for monitoring world earthquakes
title_fullStr EQviz: A visualization tool for monitoring world earthquakes
title_full_unstemmed EQviz: A visualization tool for monitoring world earthquakes
title_sort eqviz: a visualization tool for monitoring world earthquakes
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962489920&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44191
_version_ 1681422513713709056