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Contents
ОглавлениеPreface
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