It is great to see someone knowledgeable about geostatistics offering feedback about this fine paperthank you Gustaf. Because the application of a spatially-resolved upscaling method is one of this paper’s strongest aspects, it would be appropriate if the results of this method were discussed at greater length in the context of other methods. For instance, in the Results and Discussion (page 12...

Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t744347545 Geostatistics for automatic estimation of environmental variables-some simple solutions J. O. Skøien a; E. J. Pebesma b; G. Blöschl c a Department of Physical Geography, Un...

A typical subsurface environment is heterogeneous, consists of multiple materials, and is often insufficiently characterized by data. The ability to delineate geologic facies and to estimate their properties from sparse data is essential for modeling physical and biochemical processes occurring in the subsurface. Geostatistics has become an invaluable tool for estimating such properties at poin...

Joint modeling of spatially oriented dependent variables is commonplace in the environmental sciences, where scientists seek to estimate relationships among a set outcomes accounting for dependence these and spatial each outcome. Such now sought massive data sets with measured at very large number locations. Bayesian inference, while attractive accommodating uncertainties through hierarchical s...

Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a cornerstone for field mapping, machinery guidance, and variable rate technology. However, recent improvements GNSS components (GPS, GLONASS, Galileo, BeiDou) novel remote sensing computer processing-based solutions PA have not been comprehensively analyzed scientific reviews. Therefore, this study aims to explo...

Title of dissertation: SCALABLE LEARNING FOR GEOSTATISTICS AND SPEAKER RECOGNITION Balaji Vasan Srinivasan Doctor of Philosophy, 2011 Thesis directed by: Professor Ramani Duraiswami Department of Computer Science With improved data acquisition methods, the amount of data that is being collected has increased several fold. One of the objectives in data collection is to learn useful underlying pa...