Sensors and sensor networks play an important role in decision-making related to water
quality, operational streamflow forecasting, flood early warning systems, and other areas. In …

" Practical, accessible, careful and interesting, this... revised volume brings the subject up-to-
date and explains, in bite sized chunks, the′ how′ s′ and′ why′ s′ of modern day …

The distributions of parasitic diseases are determined by complex factors, including many
that are distributed in space. A variety of statistical methods are now readily accessible to …

Optimal selection of observation locations is an essential task in designing an effective
ecohydrological process monitoring network, which provides information on ecohydrological …

Kriging algorithms are a group of important interpolation methods, which are very useful in
many geological applications. However, the algorithm based on traditional general purpose …

Tracking of an atmospheric release of pollution is usually based on measurements provided
by stationary networks, occasionally complemented with deployment of mobile sensors. In …

A detailed knowledge of the stable isotope signature of precipitation is the basis of
investigations in a variety of scientific fields and applications. To obtain robust and reliable …

As malaria transmission declines, it becomes increasingly focal and prone to outbreaks.
Understanding and predicting patterns of transmission risk becomes an important …

The identification of disease hotspots is an increasingly important public health problem.
While geospatial modeling offers an opportunity to predict the locations of hotspots using …

This study presents an innovative approach to the planning of a critical highway sensor
infrastructure‐road weather information system (RWIS). The problem is formulated to …