Spatial and temporal clustering based on the echelon scan technique and software analysis

DOI10.1007/s42081-020-00072-1zbMath1447.62071OpenAlexW3008548731MaRDI QIDQ2195538

Fumio Ishioka, Shoji Kajinishi, Koji Kurihara

Publication date: 26 August 2020

Published in: Japanese Journal of Statistics and Data Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42081-020-00072-1

zbMATH Keywords

echelon analysisspatial clusteringweb applicationspatial scan statistic

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Special feature: Statistics for COVID-19 pandemic data ⋮ Detection of space-time clusters using a topological hierarchy for geospatial data on COVID-19 in Japan ⋮ EcheScan

Uses Software

• R
• shiny
• SaTScan

Cites Work

• Identify LD blocks based on hierarchical spatial data
• Evaluation of hotspot cluster detection using spatial scan statistic based on exact counting
• Spatial Modeling of Regional Variables
• Handbook of Spatial Statistics
• A spatial scan statistic
• Statistics for Spatial Data
• A Spatial Scan Statistic for Survival Data