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Spatial analysis assists theoretical understanding and empirical testing in the social sciences, and rapidly expanding applications of geographic information technologies have advanced the spatial data-gathering needed for spatial analysis and model making. This much-needed volume covers outstanding examples of spatial thinking in the social sciences, with each chapter showing some aspect of how certain social processes can be understood by analyzing their spatial context. The audience for this work is as trans-disciplinary as its authorship because it contains approaches and methodologies useful to geography, anthropology, history, political science, economics, criminology, sociology, and statistics.
This volume investigates how the integration of spatial analysis and geographic information technologies enhances theoretical understanding and empirical testing across the social sciences. The authors, Donald G. Janelle and Michael F. Goodchild, curate a collection of research that demonstrates how spatial context serves as a critical variable in explaining complex social processes. By bridging the gap between data-gathering technologies and social theory, the text provides a framework for applying spatial thinking to diverse disciplinary inquiries.
What You Will Find
Scope Limits
Experts recognize this volume as a foundational interdisciplinary resource for researchers seeking to incorporate spatial variables into their work. Readers frequently note that the prose maintains a high level of academic rigor suitable for graduate-level study and professional research applications.
Page Count:
456
Publication Date:
2004-01-01
Publisher:
Oxford University Press
ISBN-10:
0190288280
ISBN-13:
9780190288280
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