Handbook of research methods and applications in spatially integrated social science

書誌事項

Handbook of research methods and applications in spatially integrated social science

edited by Robert J. Stimson

(Handbooks of research methods and applications)

Edward Elgar, c2014

  • : [pbk.]

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Building on the foundations of human geography and regional science, there has now emerged a powerful theoretical basis that underpins a spatially integrated approach in social science research. This approach explicitly recognizes the key role that geographical (or spatial) concepts - such as distance, distribution, location, proximity, connectivity, place, neighborhood and region - play in human society and the behavior of individuals, groups and organizations. It also promotes research that advances the understanding of spatial patterns and processes.The chapters in this unique Handbook provide broad coverage of the theoretical foundations and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful volume is intended chiefly as an introduction for students and budding researchers who wish to investigate social, economic and behavioural phenomena by giving explicit consideration to the roles of space and place. The majority of chapters provide an emphasis on demonstrating applications of methods, tools and techniques that are used in SISS research, including long-established and relatively new approaches. Accessible and packed with key instructions on organizing SISS research, the book is structured into five distinct parts which give the reader a unparalleled overview of the field: - A Spatially Integrated Social Science Approach - Setting Up Your Research - Data Sources, Data Collection and Information Generation - Research Tools and Techniques and Applications - Producing Research Output This volume will appeal to all students and researchers with an interest in understanding the techniques, method and application of the spatial dimension of social sciences. Contributors: Imran Azeezullah, Irfan Azeezullah, A. Beer, M. Bell, D. Brown, C. Brunsdon, P. Chhetri, J. Corcoran, G. Daraganova, D. Faulkner, M. Goodchild, K. Grossner, A. Harding, K.E. Haynes, B.W. Head, G. Hugo, D.G. Janelle, R. McCrea, T. McGee, P. McGuirk, L. Mazerolle, W. Mitchell, A. Murray, K. O'Connor, P. O'Neill, L. Mazerolle, P. Pattison, J. Poot, K. Risley, D. Rohde, T.-K. Shyy, A. Sorensen, R.J. Stimson, R. Stough, R. Tanton, M. Watts, M. Western, R. Wickes

目次

Contents: Preface Robert J. Stimson PART I: A SPATIALLY INTEGRATED SOCIAL SCIENCE APPROACH 1. A Spatially Integrated Approach to Social Science Research Robert J. Stimson 2. Critical Spatial Thinking Michael Goodchild, Donald G. Janelle and Karl Grossner 3. Time Space Convergence Donald G. Janelle PART II: SETTING UP YOUR RESEARCH 4. Approaches to Conducting Research Robert J. Stimson 5. The Literature Review: The Fundamental Element of a Research Project Kevin O'Connor PART III: DATA SOURCES, DATA COLLECTION AND INFORMATION GENERATION 6. Issues to do with Data Robert J. Stimson 7. Using Census Data: An Australian Example Graeme Hugo 8. Survey Research Methods Robert J. Stimson 9. Using Quantitative Data in the Social Sciences Mark Western 10. Qualitative Methods in Socio-spatial Research Philip O'Neill and Pauline McGuirk 11. How to Use Primary and Secondary Data Andrew Beer and Debbie Faulkner 12. Forecasting in Social Science Research: Imperatives and Pitfalls Tony Sorensen 13. Meta-Analysis of Previous Empirical Research Findings Jacques Poot PART IV: RESEARCH TOOLS AND TECHNIQUES AND APPLICATIONS 14. Classification for Visualizing Data: Integrating Multiple Attributes and Space for Choropleth Display Tung-Kai Shyy, Imran Azeezullah, Irfan Azeezullah, Robert J. Stimson and Alan T. Murray 15. Spatial Indexes: A Focus on Segregation Martin Watts 16. Shift Share Analysis: Decomposition of Spatially Integrated Systems Kingsley E. Haynes and Jitendra Parajuli 17. Spatial Econometric Modelling William Mitchell 18. Spatial Clustering: Issues and Methods for Identifying Industry Clusters Roger R. Stough 19. Analysing Spatial Interactions: Inter-regional Migration Flows Martin Bell and Dominic Brown 20. Using Circular Statistics to Analyse Spatial Flow Data and temporal data Jonathan Corcoran and Chris Brunsdon 21. Analysing Human Social Networks Galina Daraganova and Philippa Pattison 22. Modelling the Effect of Intervening Variables Using Path Analysis Rod McCrea 23. Merging Survey and Spatial Data Using GIS-Enabled Analysis and Modelling Prem Chhetri and Robert J. Stimson 24. Web-based GIS to Support Visualization and Analysis of Community Variations in Crime Tung-Kai Shyy, Lorraine Mazerolle, Kate Risley and Robert J. Stimson 25. Policy and People at the Small Area Level: Using Micro-simulation to Create Synthetic Spatial Data Ann Harding and Robert Tanton 26. Graphical Models and Bayesian Networks as a Spatial Analytical Tool David Rohde and Jonathan Corcoran PART V: PRODUCING RESEARCH OUTPUT 27. Research and its Policy Relevance Brian W. Head 28. Navigating a Successful Doctoral Research Experience Rebecca Wickes and Tara McGee Index

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