A Study on Point Pattern Analysis of Earthquakes in the Philippines

• 발행기관: 한국자료분석학회
• 저자명: Geneveve Parreñ o Kyu Kon Kim Changwan Kang Seungbae Choi
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.19 No.3, 1143~1154쪽, 전체 12쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2017.06.30

영문 초록

Spatial point pattern often detected in sets of location distributed within a region of interest. The spatial point patterns data is consisted of set of points in the geographical space. A course to find arrangement types of points occurred in the geographical space is often called point pattern analysis. In other words, one of the main questions of interest is whether or not the spatial locations of the points are randomly located, clustered or regular. This paper s aim is to examine the spatial point pattern with a hypothesis that there exists CSR (complete spatial randomness). There are approaches in testing the CSR hypothesis such the quadrat counts method and nearest neighbour methods. For the analysis of point pattern, we consider each of these approaches using the Philippine earthquake data from the year 2011 to 2016. The results show that the Philippine earthquake data are cluster type in the three methods. And we suggest an appropriate action (preparation) manual for the emergency as earthquake broke out.

목차

1. Introduction

2. Point Pattern Analysis

3. Complete Spatial Randomness

4. Empirical Example

5. Conclusion

키워드

Spatial point pattern CSR quadrat nearest neighbour distance