Time-adaptive spatial sampling design

  1. Bueso Sánchez, María del Carmen
  2. Angulo Ibáñez, José Miguel
  3. Alonso, Francisco J.
  4. Ruiz Medina, María Dolores
Libro:
XXX Congreso Nacional de Estadística e Investigación Operativa y de las IV Jornadas de Estadística Pública: actas

Editorial: Comité organizador del XXX Congreso Nacional de Estadística e Investigación Operativa y IV Jornadas de Estadística Pública

ISBN: 978-84-690-7249-3

Año de publicación: 2007

Congreso: Congreso Nacional de Estadística e Investigación Operativa (30. 2007. Valladolid)

Tipo: Aportación congreso

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Resumen

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.

Fuente de los datos: Dialnet