Wiley Acta Medica Okayama 1939-5108 15 1 2022 Echelon analysis and its software for spatial lattice data e1579 EN Koji Kurihara Graduate School of Environmental and Life Science, Okayama University Fumio Ishioka Graduate School of Environmental and Life Science, Okayama University In this study, we explore the use of echelon analysis and its software named EcheScan for spatial lattice data. EcheScan is developed as a web application via an internet browser in R language and Shiny server for echelon analysis. The technique of echelon is proposed to analyze the topological structure for spatial lattice data. The echelon tree provides a dendrogram representation. Regional features, such as hierarchical spatial data structure and hotspots clusters, are shown in an echelon dendrogram. In addition, we introduce the conception of echelon with the values and neighbors for lattice data. We also explain the use of EcheScan for one- and two-dimensional regular lattice data. Furthermore, coronavirus disease 2019 death data corresponding to 50 US states are illustrated using EcheScan as an example of geospatial lattice data.<br> <br> This article is categorized under:<br> 　Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis<br> 　Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification<br> 　Data: Types and Structure > Image and Spatial Data No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2014 Juvenile salmon patch identification and comparison using Echelon analysis 110 120 EN Makiko ODA Saija KOLJONEN Fumio ISHIOKA Petteri ALHO Hiroshi SUITO Timo HUTTULA Koji KURIHARA No potential conflict of interest relevant to this article was reported.

Acta Medica Okayama 2007 Studies on Hotspot Detection for Spatial Data EN Fumio Ishioka No potential conflict of interest relevant to this article was reported.

岡山大学環境理工学部 Acta Medica Okayama 1341-9099 13 1 2008 Detection of Hotspot for Korea Earthquake Data using Echelon Analysis and Seismic Wave Energy 51 56 EN Fumio Ishioka Koji Kurihara 10.18926/fest/12827 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. No potential conflict of interest relevant to this article was reported.