This book examines current trends and developments in the
methods and applications of geospatial analysis and highlights
future development prospects. It provides a comprehensive
discussion of remote sensing- and geographical information system
(GIS)-based data processing techniques, current practices,
theories, models, and applications of geospatial analysis. Data
acquisition and processing techniques such as remote sensing image
selections, classifications, accuracy assessments, models of GIS
data, and spatial modeling processes are the focus of the first
part of the book. In the second part, theories and methods related
to fuzzy sets, spatial weights and prominence, geographically
weighted regression, weight of evidence, Markov-cellular automata,
artificial neural network, agent-based simulation, multi-criteria
evaluation, analytic hierarchy process, and a GIS network model are
included. Part three presents selected best practices in geospatial
analysis. The chapters, all by expert authors, are arranged so that
readers who are new to the field will gain an overview and
important insights. Those readers who are already practitioners
will gain from the advanced and updated materials and
state-of-the-art developments in geospatial analysis.
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