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Published on: October 5, 2014
Hierarchically organized migration fields: the application of higher order factor analysis to population migration
The Annals of Regional Science
|July 1, 1982
Summary
Human migration patterns exhibit hierarchical structures. Higher order factor analysis reveals nested migration fields within geographical systems, offering insights into population movement dynamics.
Area of Science:
- Human Geography
- Spatial Analysis
- Demography
Background:
- Human geographical systems frequently display hierarchical structures.
- Population migration can be understood through nested levels of migration fields.
- Analyzing large origin-destination matrices is crucial for understanding migration patterns.
Purpose of the Study:
- To conceptualize population migration systems using hierarchically related levels of migration fields.
- To demonstrate the application of higher order factor analysis in extracting these fields.
- To illustrate the method with a case study from the western United States.
Main Methods:
- Utilizing higher order factor analysis.
- Analyzing large population migration origin-destination matrices.
- Applying the method to a case study of the western United States.
Main Results:
- Higher order factor analysis successfully extracts hierarchically nested migration fields.
- The study demonstrates the utility of this method for large interaction matrices.
- The western United States case study provides empirical evidence of the conceptual framework.
Conclusions:
- Population migration systems can be effectively modeled as hierarchical structures.
- Higher order factor analysis is a powerful tool for uncovering spatial relationships in migration data.
- This approach enhances our understanding of human geographical systems and population dynamics.
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