Codice | 34/2016 |
Titolo | Statistical analysis of complex and spatially dependent data: a review of Object Oriented Spatial Statistics |
Data | 2016-10-06 |
Autore/i | Menafoglio, A.; Secchi, P. |
Link | Download full text | Pubblicato | European Journal of Operational Research |
Abstract | We review recent advances in Object Oriented Spatial Statistics, a system of ideas, algorithms and methods that allows the analysis of high dimensional and complex data when their spatial dependence is an important issue. At the intersection of different disciplines -- including mathematics, statistics, computer science and engineering -- Object Oriented Spatial Statistics provides the right perspective to address key problems in varied contexts, from Earth and life sciences to urban planning. We illustrate a few paradigmatic methods applied to problems of prediction, classification and smoothing, giving emphasis to the key ideas Object Oriented Spatial Statistics relies upon. |
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