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ToolsJones, A.P., Langford, I.H. and Bentham, G. (1996) The application of K-function analysis to the geographical distribution of road traffic accident outcomes in Norfolk, England. Social Science and Medicine, 42 (6). pp. 879-885. ISSN 0277-9536
Full text not available from this repository. (Request a copy)Abstract
One method applicable to the examination of spatial point patterns of disease, the calculation of K-functions, is presented. The technique is used to determine the degree of clustering exhibited by the residuals from a spatially referenced legit model constructed to ascertain the factors influencing the likelihood of death in a road traffic accident. This was done to test if there was some systematic geographical factor influencing outcome not adequately controlled for in the model. K-functions are extremely versatile, overcoming many of the problems of incorporating the notion of scale associated with traditional methods of spatial autocorrelation. Recently software has become available which allows their calculation in an easy to use Geographical Information System style environment. This study illustrates the relevance of the method, not only to the analysis of data on mortality and morbidity, but also to the examination of the residuals from any spatial regression.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | k-functions,spatial-statistics,gis,road-traffic-accidents,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Business and Local Government Data Research Centre (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Groups > Health Promotion Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) |
| Related URLs: | |
| Depositing User: | Pure Connector |
| Date Deposited: | 16 Jan 2015 13:18 |
| Last Modified: | 20 Oct 2022 22:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/51701 |
| DOI: | 10.1016/0277-9536(95)00186-7 |
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