Detecting and interpreting clusters of economic activity in rural areas using scan statistic and LISA under a unified framework
type: Item
instance of: scholarly article
title: Detecting and interpreting clusters of economic activity in rural areas using scan statistic and LISA under a unified framework
author: Sotiris Bersimis
author: C. Chalkias
author: T. Anthopoulou
published in: Applied Stochastic Models in Business and Industry
publication date: 2024-07-12T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7880619
zbMATH Keywords: spatial statistics
zbMATH Keywords: geographical clusters
zbMATH Keywords: space clustering
zbMATH Keywords: scans
zbMATH Keywords: 2D scans
zbMATH Keywords: spatial scan statistic
zbMATH Keywords: 2D randomness tests
zbMATH Keywords: SATSCAN
zbMATH Keywords: geographical information system (GIS)
zbMATH Keywords: hot spot detection
zbMATH Keywords: local indicators
zbMATH Keywords: spatial autocorrelation
zbMATH Keywords: LISA
zbMATH Keywords: rural areas
zbMATH Keywords: Peloponnese, Greece
MaRDI profile type: Publication
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DOI: 10.1002/ASMB.2003
description: scientific article; zbMATH DE number 7880619