ISBN:
1283117789
,
9789400706712
,
9781283117784
Language:
English
Pages:
Online-Ressource
,
v.: digital
Edition:
Online-Ausg. Springer eBook Collection. Humanities, Social Science and Law Electronic reproduction; Available via World Wide Web
Series Statement:
GeoJournal Library 100
DDC:
519.5
Keywords:
Geography
;
Geographical information systems
;
Regional planning
;
Sustainable development
;
Human Geography
Abstract:
Currently, spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as GPS, Remote Sensing, and others. This book deals with spatial analysis and modelling. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to human settlements and associated environment. Key contributions with empirical case studies from Iran, Philippines, Vietnam, Thailand, Nepal, and Japan that apply spatial analysis including autocorrelation, fuzzy, voronoi, cellular automata, analytic hierarchy process, artificial neural network, spatial metrics, spatial statistics, regression, and remote sensing mapping techniques are compiled comprehensively. The core value of this book is a wide variety of results with state of the art discussion including empirical case studies. It provides a milestone reference to students, researchers, planners, and other practitioners dealing the spatial problems on urban and regional issues.
Description / Table of Contents:
Preface; Contents; Contributors; 1 Spatial Analysis: Evolution, Methods, and Applications; 1.1 Development of Spatial Analysis with GIS; 1.1.1 Genealogy of Spatial Analysis; 1.1.2 New Spatial Analyses; 1.1.3 Why Is Spatial Analysis Conducted with GIS?; 1.1.3.1 Calculating; 1.1.3.2 Mining; 1.1.3.3 Visualizing; 1.1.3.4 Creating Data; 1.1.3.5 Handling Relations; 1.1.3.6 Understanding Processes; 1.1.4 Methodological Shift; 1.1.4.1 From Aggregate Thinking to Non-aggregate Thinking; 1.1.4.2 From Model-Driven to Data-Driven
Description / Table of Contents:
1.1.4.3 From an Understanding of Pattern and Processes to Prediction, Control, and Management1.2 Contemporary Spatial Analysis and Modeling; 1.2.1 Spatial Autocorrelation; 1.2.2 Geographically Weighted Regression; 1.2.3 Spatial Metrics; 1.2.4 Voronoi Method; 1.2.5 Multi-criteria Decision Making and Analytical Hierarchy Process; 1.2.6 Fuzzy Logic; 1.2.7 Cellular Automata; 1.2.8 Artificial Neural Network; 1.2.9 Weight of Evidence; 1.2.10 Markov Chain; 1.2.11 Agent Based Model; 1.3 Future Perspectives on Spatial Analysis and Modeling; 1.4 Overview of the Book; References
Description / Table of Contents:
Part I Spatial Scale, Autocorrelation and Neighborhood Analysis2 Field-Based Fuzzy Spatial Reasoning Model for Constraint Satisfaction Problem; 2.1 Introduction; 2.2 Fuzzy Sets; 2.2.1 Fuzzy Set Theory; 2.2.2 Fuzzy Membership Function; 2.3 Field-Based Qualitative Spatial Representation; 2.3.1 Field-Based Models; 2.3.2 Field-Based Qualitative Spatial Representation; 2.3.2.1 Representation of Direction; 2.3.2.2 Representation of Distance; 2.4 Field-Based Fuzzy Spatial Reasoning; 2.5 Application to an Illustrative Case Study; 2.6 Discussion; 2.7 Conclusion; References
Description / Table of Contents:
3 Testing Local Spatial Autocorrelation Using k-Order Neighbours3.1 Introduction; 3.2 k -Order Neighbours and Their Measurement ; 3.2.1 Defining k-Order Neighbours Using Delaunay Triangulation; 3.2.2 Search Algorithms; 3.2.3 Weight Coefficient Based on k-Order Neighbours; 3.3 Local Spatial Autocorrelation Statistics with Weight Coefficient of k-Order Neighbours ; 3.4 Example; 3.5 Delaunay Triangulation of Ichikawa; 3.5.1 Identification of Spatial Clusters; 3.5.2 Verifying the Normality of Zi ; 3.6 Conclusion; References; 4 Effect of Spatial Scale on Urban Land-Use Pattern Analysis
Description / Table of Contents:
4.1 Introduction4.2 Methods; 4.2.1 Data and Study Area; 4.2.2 Land-Use Classification Systems; 4.2.3 Data Processing; 4.2.4 Detection of Spatial Autocorrelation; 4.3 Results and Analysis; 4.4 Discussion; 4.5 Conclusions; References; 5 Modeling Neighborhood Interaction in Cellular Automata-Based Urban Geosimulation; 5.1 Introduction; 5.2 Modelling Neighborhood Interaction; 5.3 Calibration of Neighborhood Interaction; 5.3.1 Study Area and Data Set; 5.3.2 Calibration of Neighborhood Interaction; 5.4 Simulation and Results; 5.5 Concluding Remarks; References
Description / Table of Contents:
Part II Urban Analysis: Zonation and Population Structure
Note:
Includes bibliographical references and index
,
Electronic reproduction; Available via World Wide Web
DOI:
10.1007/978-94-007-0671-2
URL:
Volltext
(lizenzpflichtig)
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