Spatiotemporal sampling design adapted to heterogeneities and real-time observations. Poster
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AuthorAngulo Ibáñez, José Miguel; Alonso Morales, Francisco Javier; Ruiz Medina, María Dolores; Bueso Sánchez, María C.
Knowledge AreaEstadística e Investigación Operativa
SponsorsThis work has been supported in part by projects P05-FQM-00990 of the Andalusian CICYE and MTM2005-08597 of the DGI, Spain.
Bibliographic CitationBUESO, M.C., ANGULO, J.M., ALONSO, F.J. RUIZ MEDINA, M.D. Spatiotemporal sampling design adapted to heterogeneities and real-time observations. En: International Workshop on Spatio-Temporal Modelling (4º: 2008: Alghero, Sardinia, Italy ). International Workshop on Spatio-Temporal Modelling (METMA 4), Alghero, Sardinia, Italy, 24, 25 and 26 September 2008.
KeywordsEvaluación de riesgos
Entropía de Shannon
Entropy-based criteria for spatiotemporal sampling design naturally incorporate prior knowledge on structural heterogeneities of processes involved in environmental applications, an important aspect of variation to be considered for risk assessment purposes. Whenever possible, real-time observations must be also integrated for dynamic adaptation of the spatial sampling configurations, eventually under certain restrictions, to account for the actual evolution of the system. In this paper, such information is exploited to redefine, at each time, the region of interest in terms of local density. Procedures are applied to simulated examples where different ranges of memory and spatial dependence, as well as different levels of local variability (fractality), are specified to study the structural influence of the model in the entropy-based spatiotemporal sampling design.
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