Geographic information systems (GIS) are having tremendous impacts on many scientific
and application domains. The traditional subfield of spatial analysis is witnessing a major …

This book provides a comprehensive discussion on urban growth and sprawl, and how they
can be analyzed using remote sensing imageries. It compiles views of numerous …

Land cover is a critical variable in epidemiology and can be characterized remotely. A
framework is used to describe both the links between land cover and radiation recorded in a …

Spatial analysis can be done using various techniques with the aid of statistics and
geographical information systems (GIS). A GIS facilitates attribute interaction with …

The absence of assumptions about the dataset to be classified is one of the major attractions
of neural networks for supervised image classification applications. Classification by a …

A new approach to the fast-developing world of neural hydrological modelling, this book is
essential reading for academics and researchers in the fields of water sciences, civil …

In the past half century, we have experienced two major waves of methodological
development in the study of human behavior in space and time. The fIrst wave was the well …

Phenological differences among broadly defined vegetation types can be a basis for global
scale landcover classification at a very coarse spatial scale. Using an annual sequence of …

In this paper a systematic introduction to computational neural network models is given in
order to help spatial analysts learn about this exciting new field. The power of computational …

Ecological Informatics is defined as the design and application of computational techniques
for ecological analysis, synthesis, forecasting and management. The book provides an …