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Spatial Point Pattern Analysis and Its Application in Geographical Epidemiology

Datos Bibliográficos

ID8962844
AutoresAnthony C Gatrell (0000-0001-7017-1014, Lancaster University, autor de correspondencia), Trevor C Bailey, Trevor Bailey (University of Exeter), Peter J Diggle (0000-0003-3521-5020, Lancaster University), Barry Rowlingson (0000-0002-8586-6625, Lancaster University), Barry S Rowlingson
Año1996
Volumen21
Número1
Páginas256-256
Fecha de publicación1996-01-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaTransactions of the Institute of British Geographers (JOURNAL)
Identificadores de la revistaISSN: 0020-2754 • E-ISSN: 1475-5661
EditorialWiley (PUBLISHER • GB)
DOI10.2307/622936
OpenAlexW2136502970
IdiomaEN
Citas recibidas110
Referencias citadas8

This paper reviews a number of methods for the exploration and modelling of spatial point patterns with particular reference to geographical epidemiology (the geographical incidence of disease). Such methods go well beyond the conventional ‘nearest-neighbour’ and ‘quadrat’ analyses which have little to offer in an epidemiological context because they fail to allow for spatial variation in population density. Correction for this is essential if the aim is to assess the evidence for ‘clustering’ of cases of disease. We examine methods for exploring spatial variation in disease risk, spatial and space-time clustering, and we consider methods for modelling the raised incidence of disease around suspected point sources of pollution. All methods are illustrated by reference to recent case studies including child cancer incidence, Burkitt’s lymphoma, cancer of the larynx and childhood asthma. An Appendix considers a range of possible software environments within which to apply these methods. The links to modern geographical information systems are discussed

Economic geography · Geography · Pathology · Point (geometry · Point pattern analysis · Remote sensing · Spatial distribution · Spatial epidemiology · Epidemiology · Mathematics · Medicine · Point processes and geometric inequalities · Soil Geostatistics and Mapping · Spatial and Panel Data Analysis

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Obras citantes distintas110
Citas por año3,67
Intervalo de citas1996 - 2026 (31)
Velocidad de citacióncurrent
Altamente citadoSí
Tipos de citaNeutras: 106
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