Progress in Geospatial Analysis

By: Yuji Murayama (Editor)

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Hardcover | 7 July 2012

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304 Pages

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22.86 x 15.88 x 1.91

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This book examines the current development trends on methods and application of geospatial analysis and highlights future development prospects. It aims to provide a comprehensive discussion that includes Remote Sensing and GIS based data processing techniques, current practices on theories, models, and applications of geospatial analysis in geography. This book is written for academics, researchers, practitioners, and advanced graduate students. It will be 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 have been selected from the experienced authors in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and updated materials and state-of-the-art developments in the geospatial analysis. Data acquisition and processing techniques such as remote sensing image selections, classifications, accuracy assessments, models of GIS data model and spatial modeling process will be highlighted in the first part. In the second part, theories and methods including GIS network model, artificial neural network, Markov-CA, fuzzy sets, weight of evidence, spatial autocorrelations, geographically weighted regression, multi-criteria GIS analysis models, agent based models, and spatial visualization will be included. Part three will present selected best practices on geospatial analysis.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Earth Sciences, Geography, Environment, Planning Geography Geographical Information Systems GIS & Remote Sensing Databases Information Retrieval Geodesy & Surveying for Maps & Charts Earth Sciences

Preface	p. v
About the Editor	p. vii
Introduction: Geospatial Analysis	p. 1
Geospatial Data Acquisition and Processing
Multispectral Classification of Remote Sensing Data for Geospatial Analysis	p. 13
Data Collection, Processing, and Applications for Geospatial Analysis	p. 29
Geospatial Theories and Methods
Fuzzy Set Theory in Geospatial Analysis	p. 51
Spatial Prominence and Spatial Weights Matrix in Geospatial Analysis	p. 73
Geographically Weighted Regression in Geospatial Analysis	p. 85
Weight of Evidence in Geospatial Analysis	p. 97
Markov-Cellular Automata in Geospatial Analysis	p. 107
Multi-layer Perceptron Neural Networks in Geospatial Analysis	p. 125
Agent-Based Simulation in Geospatial Analysis	p. 143
Analytic Hierarchy Process in Geospatial Analysis	p. 157
GIS Network Model in Geospatial Analysis	p. 183
Applications in Geospatial Analysis
Urban Growth Modeling Using the Bayesian Probability Function	p. 197
Land Suitability Assessment Using a Fuzzy Multi-Criteria Evaluation	p. 215
Neighborhood Interaction in Urban Land-Use Changes Using Cellular Automata-Based Geo-Simulation	p. 237
Web-Based Interactive Walkability Measurement Using Remote Sensing and Geographical Information Systems	p. 253
Watershed Evaluation Using Geospatial Techniques	p. 273
Index	p. 287
Table of Contents provided by Ingram. All Rights Reserved.

Progress in Geospatial Analysis

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Hardcover

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