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GIS research methods : incorporating spatial perspectives / Sheila Lakshmi Steinberg, Steven J. Steinberg.
- Format:
- Book
- Author/Creator:
- Steinberg, Sheila L., author.
- Steinberg, Steven J., author.
- Language:
- English
- Subjects (All):
- Geographic information systems.
- Geographic information systems--Research.
- Spatial analysis (Statistics).
- Physical Description:
- 1 online resource (434 pages) : color illustrations, photographs, maps
- Edition:
- First edition.
- Distribution:
- London, England : Eurospan Group, [date of distribution not identified]
- Place of Publication:
- Redlands, Califronia : Esri Press, 2015.
- Language Note:
- English
- Summary:
- A solid introduction to research methods using geographic information systems (GIS). It is written for academics and professionals in the social and physical sciences.
- Contents:
- Cover
- Contents
- Preface
- Acknowledgments
- About the authors
- 1. Why think spatially?
- Using spatial knowledge
- What is GIS?
- A new approach to research methods
- The spatial advantage for research
- Spatial analysis
- Spatial thinking in research
- Multiple research methods approach
- Sociospatial thinking
- GIS as a useful tool
- 2. Spatial conceptualization and implementation
- The G in GIS
- The I in GIS
- The S in GIS
- Conceptual data model: Incorporating GIS
- Analytical approach: Phases of abstraction
- Determining project goals
- Guiding questions
- Steps in the research process
- Moving forward
- 3. Research design
- What is the purpose of your research?
- Deductive versus inductive approach to research
- Stages of sociospatial research for deductive research
- Grounded theory: GIS using an inductive approach
- Sociospatial grounded theory using GIS
- 4. Research ethics and spatial inquiry
- Research ethics and GIS
- Errors caused by analysis
- Errors in human inquiry
- Ecological fallacy
- Ethics and data collection
- Ethics and data sharing
- Ethics and data storage
- 5. Measurement, sampling, and boundaries
- Moving beyond your personal experience
- Choosing a sampling method for your spatial analysis
- Concepts, variables, and attributes
- Different data types: Matching geographic and social variables
- Data sampling and GIS
- Study area and sample unit boundaries
- 6. Using secondary digital and nondigital data sources in research
- Evaluating data sources
- Searching for secondary data
- Evaluating data suitability
- Obtaining GIS data from the Internet
- Choosing GIS variables
- Validity and reliability
- Obtaining data from offline sources
- Using news as a source of data
- 7. Survey and interview spatial data collection and databases
- Developing your own data.
- Spatializing your survey or interview questions
- Using GIS in the field, with and without a computer
- Data collection considerations
- Unit of analysis
- Database concepts and GIS
- Rules for GIS database development
- Creating GIS-friendly data tables
- 8. Public participation GIS
- Public participation GIS and participatory GIS
- Using public participation GIS as part of mixed methods
- Does using GIS mean I have to be "high-tech" in the field?
- Volunteered geographic information
- Maps of your research area
- Qualitative data and GIS files
- Conducting a PPGIS data collection
- Preparing for your own PPGIS session
- 9. Qualitative spatial ethnographic field research
- Sociospatial documentation
- Integrating GIS into field research
- Ethnography
- Case study research
- Oral history interviews
- Participant observation
- Data cataloging
- 10. Evaluation research from a spatial perspective
- What is evaluation research?
- Why do evaluation research?
- Sociospatial evaluation research
- Presenting the spatial evaluation
- The challenges and benefits of evaluation research
- 11. Conducting analysis with ArcGIS software
- Approaching the analysis
- Analysis techniques
- Cartographic classification
- Buffer and overlay
- Spatial interpolation and simulation
- Modeling
- When to use GIS as a problem-solving tool
- Potential pitfalls
- Spatial statistics
- ArcGIS Spatial Analyst
- 12. Spatial analysis of qualitative data
- Qualitative data and GIS
- What are qualitative data?
- Spatial qualitative analysis
- Steps for spatial qualitative analysis
- 13. Communicating results and visualizing spatial information
- Keys to effective communication
- GIS output
- Selecting the mode of communication
- Preparing the final product
- Conclusion
- 14. Linking results to policy and action.
- GIS and visualizing policy
- What is policy?
- Challenges to creating good policy
- A fire example
- Coordinating data
- Decision support systems
- From maps to action
- How to create good place-based policy
- Final thoughts
- 15. Future directions for geospatial use
- Imagine the future
- Geospatial agility
- Image versus data
- A rebirth of spatial awareness
- GIS is an art form
- GIS as change technology
- The role of geospatial crowdsourcing
- New directions for GIS-based research
- Parting thoughts
- Suggestions for student research projects
- Index
- Back cover.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references at the end of each chapters and index.
- Description based on print version record.
- Description based on publisher supplied metadata and other sources.
- OCLC:
- 909896385
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