Spatial trend analysis of gridded temperature data at varying spatial scales

Continental Deformation at Varying Spatial and Temporal Scales

This thesis investigates continental deformation at many different spatial and temporal scales and at several plate-tectonic settings. Our main purpose is to understand how the continental crust behaves under applied forces, both over geologic times and over shorter time scales such as the seismic cycle. The thesis consists of separate investigations of long-term and short-term plate boundary d...

Bayesian Prediction in Spatial Data Analysis

Changes at Multiple Spatial Scales

Change detection on rasterized data is extremely dependent on accurate radiometric and geometric rectification. The development of processing tools able to minimise these requirements has been recognised since the late eighties. In the present paper we present a methodology for detecting changes on multidate satellite images with different radiometric and geometric characteristics via Multireso...

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

Determination of Optimal Sampling Design for Spatial Data Analysis

Extended Abstract. Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. Consider the following standard data-model framework for spatial data. Suppose a continuous, spatially-varying quantity, Z, is to be observed at a predetermined number, n, of points ....[ To Countinue Click here]