Spatial cluster detection for socio-economic data

Lionel Cucala; Christophe Demattei

Back

Spatial cluster detection for socio-economic data

Journal article

Peer reviewed

Spatial cluster detection for socio-economic data

Lionel Cucala and Christophe Demattei

Case Studies in Business, Industry and Government Statistics, Vol.6(2), pp.1-9

2016

Abstract

Cluster detection

Scan statistics

Spatial statistics

This article focuses on spatial cluster detection methods, mainly the scan methods. Weintroduce the scan scatistics and the mathematical concepts they rely on and we discuss aboutthe choice of the underlying model. Finally these methods are applied to two socio-economicdata sets.

Files and links (1)

url

Find in HALView

Metrics

1 Record Views

Details

Title: Spatial cluster detection for socio-economic data
Creators - without role: Lionel Cucala - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
Christophe Demattei - Centre Hospitalier Universitaire de Nîmes
Publication Details: Case Studies in Business, Industry and Government Statistics, Vol.6(2), pp.1-9
Identifiers: 9946504309311
Academic Unit: Institut Montpelliérain Alexander Grothendieck - IMAG
Language: English
Resource Type: Journal article
Local Fields: hal-02090180