Recent advances in data acquisition and sharing have made available large quantities of complex data in which features may have complex interrelationships or may not be scalar. For such datasets, the traditional matrix model is no longer appropriate and may fail to capture relationships between features or fail to discover the underlying concepts that features represent. These datasets are bett...

Meningococci can cause clusters of disease. Specimens from 1,616 patients in Germany obtained over 42 months were typed by serogrouping and sequence typing of PorA and FetA and yielded a highly diverse dataset (Simpson's index 0.963). A retrospective spatiotemporal scan statistic (SaTScan) was applied in an automated fashion to identify clusters for each finetype defined by serogroup variable r...

Hepatitis C virus (HCV) entry, translation, replication, and assembly occur with defined kinetics in distinct subcellular compartments. It is unclear how HCV spatially and temporally regulates these events within the host cell to coordinate its infection. We have developed a single molecule RNA detection assay that facilitates the simultaneous visualization of HCV (+) and (-) RNA strands at the...

EEG/MEG noise has an unequal variance and is correlated, both in space and in time. Noise variance may differ greatly between samples or sensors, and correlations between samples or sensors can be very high [1-4]. If these noise characteristics are neglected, then an EEG/MEG source analysis will yield unreliable results [e.g. 5, 6]. First, source parameter estimates will be inefficient. That is...

In this chapter, a framework will be presented for measuring and modeling transport processes using novel visualization techniques and extended optical flow techniques for digital image sequence analysis. In this way, parameters besides the 2-D xy velocity components can be extracted concurrently from the acquired 2-D image sequences, such as wall shear rates and momentum transport close to bou...

Understanding the complexity of urban expansion requires an analysis of the factors influencing the spatial and temporal processes of rural-urban land conversion. This study aims at building a statistical land conversion model to assist in understanding land use change patterns. Specifically, GIS coupled with a logistic regression model and exponential smoothing techniques is used for exploring...

This paper describes methods to analyze the brain's electric fields recorded with multichannel Electroencephalogram (EEG) and demonstrates their implementation in the software CARTOOL. It focuses on the analysis of the spatial properties of these fields and on quantitative assessment of changes of field topographies across time, experimental conditions, or populations. Topographic analyses are ...

Spatiotemporal database management systems can become an enabling technology for important applications such as Geographic Information Systems (GIS), environmental information systems, and multimedia. In this paper we address research issues in spatiotemporal databases, by providing an analysis of the challenges set, the problems encountered, as well as the proposed solutions and the envisioned...

a r t i c l e i n f o Consumption of ethanol in the United States has increased rapidly over the last few years, fueled by both higher crude oil prices and generous public support measures for renewable fuels. The contribution of etha-nol to the transport energy mix varies markedly by state. Heterogeneity in ethanol adoption and market development is investigated using a hierarchical, spatiotem...