Filtering and Mapping Public Health Data with an Innovative Kriging Approach, Accounting for Single Observation Variance

The main scope of the paper is performing appropriate kriging interpolation of the diabetes prevalence data coming from the Pavia (Italy) Local Health Care Agency (ASL). The original dataset is analyzed, the Bayesian regularization is evaluated, which is applied by other authors and finally prevalen...

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Bibliographic Details
Published inProcedia environmental sciences Vol. 26; pp. 57 - 61
Main Authors Casella, Vittorio, Manzino, Ambrogio, Bellazzi, Riccardo, Franzini, Marica
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2015
Subjects
diabetes
kriging
spatial epidemiology
diabetes
kriging
spatial epidemiology
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Summary:The main scope of the paper is performing appropriate kriging interpolation of the diabetes prevalence data coming from the Pavia (Italy) Local Health Care Agency (ASL). The original dataset is analyzed, the Bayesian regularization is evaluated, which is applied by other authors and finally prevalence data are simulated by means of random fields, in order to tune and evaluate kriging interpolation.
ISSN:1878-0296
1878-0296
DOI:10.1016/j.proenv.2015.05.024