Open AccessVisual Analysis of World Earthquakes based on Data Science and Statistical Methods
Author(s) -
Xing Xiangrong
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1684/1/012031
Subject(s) - visualization , workflow , computer science , earthquake prediction , earthquake simulation , seismology , data science , data mining , geology , database
Earthquake is a very serious geological disaster, often accompanied by serious casualties. Therefore, it is necessary to explore the law of earthquake occurrence and take corresponding measures in time to reduce losses and casualties. However, it is difficult to predict the mechanism and principle of earthquakes. In this study, we utilize the methods and tools of data science to explore the regularity of earthquake occurrence. This paper is a practice of enforcing the workflow of data science, which uses computer algorithm to make fast statistics of data and conduct visualization processing to study the law of earthquake occurrence. Compared with the traditional research methods, it has important significance.