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Handbook of Spatial Analysis in the Social Sciences

✍ Scribed by Sergio J. Rey (editor), Rachel S. Franklin (editor)


Publisher
Edward Elgar Publishing
Year
2022
Tongue
English
Leaves
589
Category
Library

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✦ Synopsis


Providing an authoritative assessment of the current landscape of spatial analysis in the social sciences, this cutting-edge Handbook covers the full range of standard and emerging methods across the social science domain areas in which these methods are typically applied. Accessible and comprehensive, it expertly answers the key questions regarding the dynamic intersection of spatial analysis and the social sciences.



The chapters are split into insightful sections dedicated to foundational background material, methods, social science applications and the challenges on the horizon, using state-of-the-art coverage of the traditional and novel spatial methods. Leading scholars in the field use a range of applications to illustrate the diverse ways in which spatial analysis methods can inform research in the field of social sciences. Furthermore, the Handbook discusses the key challenges to that research including uncertainty, reproducibility and replicability.



This
Handbook of Spatial Analysis in the Social Sciences will be an excellent informative resource for scholars in the fields of geography, social sciences and public health. Established and early career researchers of the social sciences alike will appreciate the detailed overview of the methods and applications as well as the ability to expand their methodological knowledge.

✦ Table of Contents


Front Matter
Copyright
Contents
Contributors
Acknowledgements
Introduction: Spatial analysis and the social sciences in a rapidly changing landscape
PART 1 THEORY, FRAMEWORKS AND FOUNDATIONS
1. GIScience through the looking glass
2. Locating spatial data in the social sciences
3. Analytical environments
4. Complexity
5. Linking spatial patterns to processes
PART 2 METHODS
6. Spatial econometrics
7. Local modeling in a regression framework
8. Simulating geographical systems using cellular automata and agent-based models
9. Microsimulation
10. Multilevel models
11. Context-dependent movement analysis
12. Spatial interaction modeling
13. Spatial optimization
14. Cluster identification
15. Spatial point patterns
16. Spatial dynamics
17. GeoAI in social science
18. Exploratory spatial data analysis
19. Geovisualization and geovisual analysis
20. Immersive virtual reality and spatial analysis
21. Spatiotemporal data mining
PART 3 APPLICATIONS
22. Neighborhood change
23. The spatial analysis of gentrification: Formalizing geography in models of a multidimensional urban process
24. Social networks in space
25. Analysing the dynamics of inter-regional inequality: The case of Canada
26. Spatial approaches to energy poverty
27. The shape of bias: Understanding the relationship between compactness and bias in U.S. elections
28. Space and New Urbanism
29. Space for wellbeing
30. Urban analytics: History, trajectory and critique
PART 4 EMERGING CHALLENGES AND ISSUES
31. Reproducibility and replicability in spatial science
32. An image library: The potential of imagery in (quantitative) social sciences
33. Uncertainty
Index


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