In this work we propose the use of Vector Autoregressive Models (ST-VAR) and Generalized Vector Autoregressive Models (ST-GVAR) for spatio-temporal data in which relations among different sites of a monitoring network are not exclusively dependent on the distance among them but take also into account intensity and direction that a phenomenon measured on the whole network has on a single site of the network. We present an application of these models using data of fifteen italian meteorological locations of Mediterranean Basin.
Lamberti, A., Naccarato, A. (2005). Var Models for Spatio-Temporal Structures: an application to environmental data. In Vichi M, Monari P, Mignani S, Montanari A (a cura di), New Developments in Classification and Data Analysis (pp. 243-250). Berlin : Springer [10.1007/3-540-27373-5_29].
Var Models for Spatio-Temporal Structures: an application to environmental data
NACCARATO, ALESSIA
2005-01-01
Abstract
In this work we propose the use of Vector Autoregressive Models (ST-VAR) and Generalized Vector Autoregressive Models (ST-GVAR) for spatio-temporal data in which relations among different sites of a monitoring network are not exclusively dependent on the distance among them but take also into account intensity and direction that a phenomenon measured on the whole network has on a single site of the network. We present an application of these models using data of fifteen italian meteorological locations of Mediterranean Basin.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
