spatial patterns of soil fertility parameters, and other extrinsic factors need to be iden-tified to develop farming practices that match agricultural inputs with local crop needs. little is known about the spatial structure of yield and weed density across fields. in this study, geostatistics was used to describe and map spatial patterns of soil total nitrogen, available phosphorus, available ...

In the past several years there has been considerable commercial and academic interest in methods for variance-based sensitivity analysis. The industrial focus is motivated by the importance of attributing variance contributions to input factors. A more complete understanding of these relationships enables companies to achieve goals related to quality, safety and asset utilization. In a number ...

Regulation of hemodynamic parameters is a challenging problem, due to interand intra-patient variability, drug interactions, evolving patient condition, and in the case of simultaneous control of mean arterial pressure and cardiac output, tight coupling between the two variables. This requires a controller that can adapt to conditions as they evolve, and without the need to tune the controller ...

We review the problem of defining and inferring a “state” for a control system based on complex, high-dimensional, highly uncertain measurement streams such as videos. Such a state, or representation, should contain all and only the information needed for control, and discount nuisance variability in the data. It should also have finite complexity, ideally modulated depending on available resou...

This paper presents an exploratory simulation experiment to investigate the distribution of coefficients that are used to construct eigenvector spatial filters (ESFs) (Griffith 2000; Griffith 2003). The fundamental idea of ESF exploits the decomposition of a spatial variable into the following three components: trend, spatially structured random component (i.e., spatial stochastic signal), and ...

the objective of this study is evaluation of topographic wetness index (twi) using attraction model in northern of fars province. the first attraction model was used to enhance the spatial resolution of digital elevation model (dem). in this research to estimate of value of sub-pixels neighboring pixels, touching and quadrant neighboring models were used. after manufacturing output images for s...

The concept of variable spatial resolution implies varying sized units at a given resolution level. The choise of the shape is a special matter. The square is particular handy if the process of creating the blocks of varying size is one of the decomposing space from a general level to more detail. For example, a polygon can be successively approximated by sets of blocks at different levels: If ...

We consider a spatial generalized linear latent variable model with and without normality distributional assumption on the latent variables. When the latent variables are assumed to be multivariate normal, we apply a Laplace approximation. To relax the assumption of marginal normality in favor of a mixture of normals, we construct a multivariate density with Gaussian spatial dependence and give...