start-ver=1.4 cd-journal=joma no-vol=15 cd-vols= no-issue=1 article-no= start-page=e1579 end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2022 dt-pub=20220312 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Echelon analysis and its software for spatial lattice data en-subtitle= kn-subtitle= en-abstract= kn-abstract=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.

This article is categorized under:
@Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis
@Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification
@Data: Types and Structure > Image and Spatial Data en-copyright= kn-copyright= en-aut-name=KuriharaKoji en-aut-sei=Kurihara en-aut-mei=Koji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=IshiokaFumio en-aut-sei=Ishioka en-aut-mei=Fumio kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= affil-num=1 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= affil-num=2 en-affil=Graduate School of Environmental and Life Science, Okayama University kn-affil= en-keyword=echelon analysis kn-keyword=echelon analysis en-keyword=hierarchical structure kn-keyword=hierarchical structure en-keyword=R language and shiny kn-keyword=R language and shiny en-keyword=spatial lattice data kn-keyword=spatial lattice data en-keyword=web application kn-keyword=web application END start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page=110 end-page=120 dt-received= dt-revised= dt-accepted= dt-pub-year=2014 dt-pub=201406 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Juvenile salmon patch identification and comparison using Echelon analysis en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=ODAMakiko en-aut-sei=ODA en-aut-mei=Makiko kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=1 ORCID= en-aut-name=KOLJONENSaija en-aut-sei=KOLJONEN en-aut-mei=Saija kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=2 ORCID= en-aut-name=ISHIOKAFumio en-aut-sei=ISHIOKA en-aut-mei=Fumio kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=3 ORCID= en-aut-name=ALHOPetteri en-aut-sei=ALHO en-aut-mei=Petteri kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=4 ORCID= en-aut-name=SUITOHiroshi en-aut-sei=SUITO en-aut-mei=Hiroshi kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=5 ORCID= en-aut-name=HUTTULATimo en-aut-sei=HUTTULA en-aut-mei=Timo kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=6 ORCID= en-aut-name=KURIHARAKoji en-aut-sei=KURIHARA en-aut-mei=Koji kn-aut-name= kn-aut-sei= kn-aut-mei= aut-affil-num=7 ORCID= affil-num=1 en-affil= kn-affil= affil-num=2 en-affil= kn-affil= affil-num=3 en-affil= kn-affil= affil-num=4 en-affil= kn-affil= affil-num=5 en-affil= kn-affil= affil-num=6 en-affil= kn-affil= affil-num=7 en-affil= kn-affil= END start-ver=1.4 cd-journal=joma no-vol= cd-vols= no-issue= article-no= start-page= end-page= dt-received= dt-revised= dt-accepted= dt-pub-year=2007 dt-pub=20070930 dt-online= en-article= kn-article= en-subject= kn-subject= en-title=‹σŠΤƒf[ƒ^‚ΜƒzƒbƒgƒXƒ|ƒbƒgŒŸo‚ΙŠΦ‚·‚ιŒ€‹† kn-title=Studies on Hotspot Detection for Spatial Data en-subtitle= kn-subtitle= en-abstract= kn-abstract= en-copyright= kn-copyright= en-aut-name=IshiokaFumio en-aut-sei=Ishioka en-aut-mei=Fumio kn-aut-name=Ξ‰ͺ•ΆΆ kn-aut-sei=Ξ‰ͺ kn-aut-mei=•ΆΆ aut-affil-num=1 ORCID= affil-num=1 en-affil= kn-affil=‰ͺŽR‘εŠw END start-ver=1.4 cd-journal=joma no-vol=13 cd-vols= no-issue=1 article-no= start-page=51 end-page=56 dt-received= dt-revised= dt-accepted= dt-pub-year=2008 dt-pub=200803 dt-online= en-article= kn-article= en-subject= kn-subject= en-title= kn-title=Detection of Hotspot for Korea Earthquake Data using Echelon Analysis and Seismic Wave Energy en-subtitle= kn-subtitle= en-abstract= kn-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fs 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. en-copyright= kn-copyright= en-aut-name= en-aut-sei= en-aut-mei= kn-aut-name=SanghoonHan kn-aut-sei=Sanghoon kn-aut-mei=Han aut-affil-num=1 ORCID= en-aut-name=IshiokaFumio en-aut-sei=Ishioka en-aut-mei=Fumio kn-aut-name=Ξ‰ͺ•ΆΆ kn-aut-sei=Ξ‰ͺ kn-aut-mei=•ΆΆ aut-affil-num=2 ORCID= en-aut-name=KuriharaKoji en-aut-sei=Kurihara en-aut-mei=Koji kn-aut-name=ŒIŒ΄lŽŸ kn-aut-sei=ŒIŒ΄ kn-aut-mei=lŽŸ aut-affil-num=3 ORCID= affil-num=1 en-affil= kn-affil=‰ͺŽR‘εŠw affil-num=2 en-affil= kn-affil=‰ͺŽR‘εŠw affil-num=3 en-affil= kn-affil=‰ͺŽR‘εŠw en-keyword=Hotspot kn-keyword=Hotspot en-keyword=Echelon analysis kn-keyword=Echelon analysis en-keyword=Spatial scan statistics kn-keyword=Spatial scan statistics en-keyword=Seismic Wave Energy kn-keyword=Seismic Wave Energy END