Murayama Y. (Ed.) Progress in Geospatial Analysis

Springer, 2012. — 284 p.This book discusses the current trends in methods and applications of geospatial analysis and highlights future development prospects. It aims to provide a comprehensive discussion on data processing techniques, current practices with theories and models of remote sensing (RS) and geographical information systems (GIS), and empirical studies of geospatial analysis.
Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data, and the spatial modeling process are focused on in the first part of the book. In the second part, theories and methods, including fuzzy sets, spatial weights and prominence, geographically weighted regression, weight of evidence, Markov–cellular automata, artificial neural networks, agent-based simulation, multi-criteria evaluation, analytic hierarchy process, and a GIS network model are included. Part III presents selected best practices on geospatial analysis, focusing on geographical phenomena. Most of the chapters are original and a few, especially for applications, are reprints from international journals and proceedings.
This book is written for academicians, researchers, practitioners, and advanced graduate students. It is designed to be read by those new or starting out in the field of geospatial analysis, as well as by those who are already familiar with the field. The chapters are selected from experienced authors in such a way that readers who are new to the field will gain an important overview and insight. At the same time, those readers who are already practitioners in the fi eld will gain from the advanced and updated materials and state-of-the-art developments in geospatial analysis.