Spatiotemporal sampling design adapted to heterogeneities and real-time observations. Póster
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URI: http://hdl.handle.net/10317/885Share
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Angulo Ibáñez, José Miguel; Alonso Morales, Francisco Javier; Ruiz Medina, María Dolores; Bueso Sánchez, María del CarmenKnowledge Area
Estadística e Investigación OperativaSponsors
This work has been supported in part by projects P05-FQM-00990 of the Andalusian CICYE and MTM2005-08597 of the DGI, Spain.Publication date
2008-09Bibliographic Citation
ANGULO IBAÑEZ, José Miguel et al. 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.Keywords
Evaluación de riesgosHeterogeneidad
Entropía de Shannon
Muestro espacio-temporal
Abstract
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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