Geostatistical Modeling to Capture Seismic‐Shaking Patterns From Earthquake‐Induced Landslides

Biomedical Applications: From Data Capture to Modeling

The incredible array of image and datacapture tools available to the scientific community is dramatically changing our understanding of biological processes. For example, imaging modalities such as computed tomography and magnetic resonance imaging let us visualize and track complex biological processes such as beating hearts. Data capture is only part of the story, however. Just as calculus he...

tracking of synoptic patterns resulting from geomorphodynamic hazards (case study: landslides of iran from march14 to march 31, 1998)

1. introduction the effect of climate of the earth's surface is the result of interaction of different levels of atmosphere and lithosphere. one of the factors which influences that interaction is the way the system pressure transcends it. in this way, the system pressure changes and can be changed and eventually may become an environmental hazard and geomorphodynamic phenomenon. hazards are an...

Boussinesq modeling of surface waves due to underwater landslides

Consideration is given to the influence of an underwater landslide on waves at the surface of a shallow body of fluid. The equations of motion which govern the evolution of the barycenter of the landslide mass include various dissipative effects due to bottom friction, internal energy dissipation, and viscous drag. The surface waves are studied in the Boussinesq scaling, with time-dependent bat...

Geostatistical modeling of topography using auxiliary maps

Bayesian geostatistical modeling with informative sampling locations

We consider geostatistical models that allow the locations at which data are collected to be informative about the outcomes. Diggle et al. [2009] refer to this problem as preferential sampling, though we use the term informative sampling to highlight the relationship with the longitudinal data literature on informative observation times. In the longitudinal setting, joint models of the observat...