Time-adaptive spatial sampling design
- Bueso Sánchez, María del Carmen
- Angulo Ibáñez, José Miguel
- Alonso, Francisco J.
- Ruiz Medina, María Dolores
Argitaletxea: Comité organizador del XXX Congreso Nacional de Estadística e Investigación Operativa y IV Jornadas de Estadística Pública
ISBN: 978-84-690-7249-3
Argitalpen urtea: 2007
Biltzarra: Congreso Nacional de Estadística e Investigación Operativa (30. 2007. Valladolid)
Mota: Biltzar ekarpena
Laburpena
Risk assessment in environmental applications involving spatiotemporal pro- cesses requires, in most cases, a dynamic evaluation and detection of the even- tually critical behavior in relation to the spatial variability. In this paper, the problem of designing adaptive sampling strategies for prediction in a spatiotem- poral state-space model framework is considered. Speci cally, at each time, the region of interest for the unobservable process is re-de ned based on the updated historical observations, which provide information on relative local uncertainty. A dynamic optimal selection of spatial sampling con gurations is then proposed based on entropy criteria. Performance is illustrated with an empirical study.