The first step in statistical data analysis is to verify three data features: dependency, stationarity, and distribution. If data are independent, it makes little sense to analyze them geostatisticaly. If data are not stationary, they need to be made so, usually by data detrending and data transformation. Geostatistics works best when input data are Gaussian. If not, data have to be made to be ...

Kriging techniques are used to map national public health data routinely reported to the Centers for Disease Control and Prevention (CDC). Although choropleth maps are commonly used to display geographic and temporal disease-related events for political (state and county) jurisdictions, kriged maps may offer opportunities to enhance visual communication of event patterns over time. As a geostat...

We propose a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistical relation between two images, as estimated using generalpurpose registration algorithms, in order to construct an optimum predictor of the displacement field. High accuracy is achieved by using an estimated spatial model of th...

Contents Summary 4 1 Motivation: time series normalization and adjustment 5 1.

of the many climatic events that influence the earth’s environment, drought is perhaps the one that is most linked with desertification. drought is the consequence of a natural reduction in the amount of precipitation received over an extended period, usually a season or more in length. drought monitoring is an essential component of drought risk management. it is normally performed using vario...

In most petroleum and geoscience studies, the flow is controlled by the connectivity of extreme permeabilities (both high and low) associated with multiple-scale geological patterns. Hence, it is critical to model such patterns in order to predict successfully the flow performance. The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous vari...