In order to provide meaningful data about spectrum use, occupancy measurements
describing the utilization rate of a specific frequency band should be conducted over a …

The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …

This fully revised third edition introduces geostatistics by emphasising the multivariate
aspects for scientists, engineers and statisticians. Geostatistics offers a variety of models …

Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …

Geostatistical approaches to spatiotemporal prediction in environmental science,
climatology, meteorology, and related fields rely on appropriate covariance models. This …

The purpose of this book is to provide an introduction to the theories and techniques of multi-
sensor data fusion. The book has been designed as a text for a one-semester graduate …

Automated sensing instruments on satellites and aircraft have enabled the collection of
massive amounts of high-resolution observations of spatial fields over large spatial regions …

Many physical/biological processes involve variability over both space and time. As a result
of difficulties caused by large datasets and the modelling of space, time and spatio-temporal …

Spatial analysis methods have seen a rapid rise in popularity due to demand from a wide
range of fields. These include, among others, biology, spatial economics, image processing …