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Handbook of Research Methods and Applications in Spatially Integrated Social Science
Edited by Robert Stimson
The chapters in this book provide coverage of the theoretical underpinnings and methodologies that typify research using a Spatially Integrated Social Science (SISS) approach. This insightful Handbook is intended chiefly as a primer 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.
Handbook
- Published in print:
- 25 Jul 2014
- ISBN:
- 9780857932969
- eISBN:
- 9780857932976
- Pages:
- 680
Show Summary Details
- Handbook of Research Methods and Applications in Spatially Integrated Social Science
- Copyright
- Contents
- Contributors
- Introduction
- Chapter I: A spatially integrated approach to social science research
- Chapter 2: Critical spatial thinking
- Chapter 3: Time–space convergence
- Chapter 4: Approaches to conducting research
- Chapter 5: The literature review: the fundamental element of a research project
- Chapter 6: Issues to do with data
- Chapter 7: Using census data: an Australian example
- Chapter 8: Survey research methods
- Chapter 9: Using quantitative data in the social sciences
- Chapter 10: Qualitative methods in socio-spatial research
- Chapter 11: How to use primary and secondary data
- Chapter 12: Forecasting in social science research: imperatives and pitfalls
- Chapter 13: Meta-analysis of previous empirical research findings
- Chapter 14: Classification for visualizing data: integrating multiple attributes and space for choropleth display
- Chapter 15: Spatial indexes: a focus on segregation
- Chapter 16: Shift-share analysis: decomposition of spatially integrated systems
- Chapter 17: Spatial econometric modelling
- Chapter 18: Spatial clustering: issues and methods for identifying industry clusters
- Chapter 19: Analysing spatial interactions: inter-regional migration flows
- Chapter 20: Using circular statistics to analyse spatial flow and temporal data
- Chapter 21: Analysing human social networks
- Chapter 22: Modelling effects of intervening variables using path analysis
- Chapter 23: Merging survey and spatial data using GIS-enabled analysis and modelling
- Chapter 24: Web-based GIS to support visualization and analysis of community variations in crime
- Chapter 25: Policy and people at the small-area level: using micro-simulation to create synthetic spatial data
- Chapter 26: Graphical models and Bayesian networks as a spatial analytical tool
- Chapter 27: Research and its policy relevance
- Chapter 28: Navigating a successful doctoral research experience
- Index
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Copyright
Handbook Chapter
- Published:
- 25 July 2014
- Category:
- Handbook Chapter
- Pages:
- iv (1 total)
Collection:
Economics 2014
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- Handbook of Research Methods and Applications in Spatially Integrated Social Science
- Copyright
- Contents
- Contributors
- Introduction
- Chapter I: A spatially integrated approach to social science research
- Chapter 2: Critical spatial thinking
- Chapter 3: Time–space convergence
- Chapter 4: Approaches to conducting research
- Chapter 5: The literature review: the fundamental element of a research project
- Chapter 6: Issues to do with data
- Chapter 7: Using census data: an Australian example
- Chapter 8: Survey research methods
- Chapter 9: Using quantitative data in the social sciences
- Chapter 10: Qualitative methods in socio-spatial research
- Chapter 11: How to use primary and secondary data
- Chapter 12: Forecasting in social science research: imperatives and pitfalls
- Chapter 13: Meta-analysis of previous empirical research findings
- Chapter 14: Classification for visualizing data: integrating multiple attributes and space for choropleth display
- Chapter 15: Spatial indexes: a focus on segregation
- Chapter 16: Shift-share analysis: decomposition of spatially integrated systems
- Chapter 17: Spatial econometric modelling
- Chapter 18: Spatial clustering: issues and methods for identifying industry clusters
- Chapter 19: Analysing spatial interactions: inter-regional migration flows
- Chapter 20: Using circular statistics to analyse spatial flow and temporal data
- Chapter 21: Analysing human social networks
- Chapter 22: Modelling effects of intervening variables using path analysis
- Chapter 23: Merging survey and spatial data using GIS-enabled analysis and modelling
- Chapter 24: Web-based GIS to support visualization and analysis of community variations in crime
- Chapter 25: Policy and people at the small-area level: using micro-simulation to create synthetic spatial data
- Chapter 26: Graphical models and Bayesian networks as a spatial analytical tool
- Chapter 27: Research and its policy relevance
- Chapter 28: Navigating a successful doctoral research experience
- Index