4. Statistical modeling of spatial data
The aim of statistical modeling is to find a mathematical expression for estimating the value of an attribute based on a set of other, so-called explanatory, attributes. In the case of geographical units, the value to be explained by the model tends to be an average, a sum, a headcount or a ratio, whereas in the case of an analysis of individuals, the value to be explained tends to be a probability or a Boolean value (e.g. sick/not sick).
4.1 Statistical modeling
The general aim of statistical modeling in epidemiology is to explain or model an individual disease risk Z from individual and contextual risk factors. The aim is to find a functional expression of the type Z = f (x 1 , x 2...
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Statistical modeling of spatial data
Spatio-temporal analysis and modeling
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