Regression Analysis: Predicting Depth of Earthquakes
نویسنده
چکیده
The importance of predicting Earthquakes is increasing due to recent catastrophes such as those in Haiti and Japan. In this project we tried to predict the depth of hypocenters of earthquakes based on ISE-GEM cagalog. Using Regression Tree we divided the Earth’s surface into thirteen smaller regions, and classified them into five groups. On each group we applied General Additive Model(GAM) and Random Forests. In order to improve the result of the analysis we need to improve measuring methods as well as to filter to find more accurate data.
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تاریخ انتشار 2014