FullText URL fulltext.pdf
Author Kurihara, Koji| Ishioka, Fumio|
Keywords echelon analysis hierarchical structure R language and shiny spatial lattice data web application
Published Date 2022-03-12
Publication Title WIREs Computational Statistics
Volume volume15
Issue issue1
Publisher Wiley
Start Page e1579
ISSN 1939-5108
Content Type Journal Article
language English
OAI-PMH Set 岡山大学
Copyright Holders © 2022 The Authors.
File Version publisher
DOI 10.1002/wics.1579
Web of Science KeyUT 000767836200001
Related Url isVersionOf https://doi.org/10.1002/wics.1579
Author ODA, Makiko| KOLJONEN, Saija| ISHIOKA, Fumio| ALHO, Petteri| SUITO, Hiroshi| HUTTULA, Timo| KURIHARA, Koji|
Published Date 2014-06
Publication Title SYKE-OU Project Report
Content Type Research Paper
Author Ishioka, Fumio|
Published Date 2007-09-30
Publication Title
Content Type Thesis or Dissertation
JaLCDOI 10.18926/fest/12827
FullText URL 13_051_056.pdf
Author Sanghoon Han| Ishioka, Fumio| Kurihara, Koji|
Abstract Echelon analysis (Myers et al., 1997) is a method to investigate the phase-structure of spatial data systematically and objectively. This method is also useful to prospect the areas of interest in regional monitoring of a surface variable. The spatial scan statistic (Kulldorff, 1997) is a method of detection and inference for the zones of significantly high or low rates based on the likelihood ratio. These zones are called hotspots. The purpose of this paper is to detect the hotspot area for spatial data using echelon. We perform echelon analysis for Korea earthquake data. We use ESRI’s ArcGIS that is geographical information system (GIS) software to make the meshed areas and get contiguity information of these areas. With this contiguity information on the meshed areas, we detect the hotspot area using echelon analysis and spatial scan statistics. In addition, we compare with the result of analysis based on the total of number of times simply and the seismic wave energy.
Keywords Hotspot Echelon analysis Spatial scan statistics Seismic Wave Energy
Publication Title 岡山大学環境理工学部研究報告
Published Date 2008-03
Volume volume13
Issue issue1
Start Page 51
End Page 56
ISSN 1341-9099
language English
File Version publisher
NAID 120002304882