| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4402015 | Procedia Environmental Sciences | 2015 | 5 Pages |
Abstract
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.
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