Classical geostatistical methods are powerful tools to study the spatial-temporal structure of stationary processes. Separability is also a common assumption to avoid many of the problems of space and time modeling. This subclass of separable spatial-temporal processes has several advantages, including rapid fitting and simple extensions of many techniques developed and successfully used in tim...

This paper aims to provide guidance to ecologists with limited experience in spatial analysis to help in their choice of techniques. It uses examples to compare methods of spatial analysis for ecological field data. A taxonomy of different data types is presented, including pointand area-referenced data, with and without attributes. Spatially and non-spatially explicit data are distinguished. T...

Geostatistical analyses were first developed in the 1950's as a result of interest in areal or block averages for ore reserves in the mining industry. Today, variogram estimation and spatial prediction (kriging) span all sciences where data exhibit spatial correlation. Theoretical properties of the spatial process are addressed under the distribution-free and likelihood-based perspectives. Stre...

The trend in interactive entertainment is towards scenes with massive numbers of characters, and requiring huge amounts of motion data, which must be compactly and efficiently stored without sacrificing quality or controllability of the motions. Multilinear algebra is a powerful tool for efficiently representing multivariate data, including human motion data, through the analysis of multimodal ...

There have been important changes in the United Kingdom’s (UK) fertility and immigration in the past decade, with a large share contributed by migrants from Poland. A detailed understanding of Polish migrant fertility is lacking, however, because the relevant data are not routinely collected. This paper provides new insights into the fertility patterns of Polish migrants in the UK, and compares...

spatiality assessment of groundwater pollution is very important to determine water quality condition, pollution sources and management decisions. in this case, gis and geostatistics methods can be useful tools. spatiality of groundwater quality parameters, in relation with various land uses, can be very extremely. therefore water samples from 52 wells in the kurdan area were analyzed in this s...

We address the problem of characterizing heterogeneity in regional aquifer systems using databases derived from borehole logs in the public domain (predominantly water well logs of varying quality). We also address the problem of representing that heterogeneity within models for ground water flow and transport. We focus on sedimentary aquifer systems in which sedimentary unit types have differe...