Spatial statistics

Model-Based Combination of Spatial Information for Stream Networks

Evolutionary improvements in Geographic Information Systems (GIS) now routinely allow the management and mapping of spatial-temporal information. In response, the development of statistical models to combine information of different types and spatial …

Statistical Methods for Ecological Assessment Of Riverine Systems By Combining Information From Multiple Sources

The assessment of environmental risk and the evaluation of environmental policies increasingly require accurate and relevant information about the environment. For policy makers and stakeholders to evaluate possible policy changes, an understanding …

Measuring the Uncertainty in Kriging

Spatial phenomena is commonly modelled as a realization from a stochastic process. Even when the reality is unique such models can usefully represent the uncertainty the modeler has about the phenomena. This paper is concerned with predicting for …

A Bayesian Analysis of Kriging

This article is concerned with predicting for Gaussian random fields in a way that appropriately deals with uncertainty in the covariance function. To this end, we analyze the best linear unbiased prediction procedure within a Bayesian framework. …

On Cascading Latin Hypercube Designs and Additive Models for Experiments

This paper is concerned with aspects of the design and analysis of computer experiments. It has been motivated by issues in the experimental design of intergrated-circuits. Suppose we wish to model the behavior of a complex process as a function of …