Segregation and Fragmentation: Extending Landscape Ecology and Pattern Metrics Analysis to Spatial Demography

Though demography's roots involve a strong spatial component, recent attention to capitalizing on widely available spatially referenced demographic data has returned the focus to spatially enabled analyses. Landscape ecology offers a theoretical framework and concomitant methodology in pattern...

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Bibliographic Details
Published in:Population research and policy review 2008-02, Vol.27 (1), p.65-88
Main Authors: Crews, Kelley A., Peralvo, Manuel F.
Format: Article
Language:English
Subjects:
Aggregates
California
Censuses
Class
Data analysis
Demographic analysis
Demographics
Demography
Ecology
Geographic information systems
Geographical information systems
GIS
Global positioning systems
GPS
Hispanic Americans
Hispanics
Human Ecology
Income
Landscape
Landscape ecology
Landscapes
Mathematical models
Median income
Outliers
Pattern metrics
Policy studies
Population
Population density
Population Economics
Population growth
Race
Segregation
Social classes
Social networks
Social Sciences
Sociology
Spatial Analysis
Studies
U.S.A
Variables
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Summary:Though demography's roots involve a strong spatial component, recent attention to capitalizing on widely available spatially referenced demographic data has returned the focus to spatially enabled analyses. Landscape ecology offers a theoretical framework and concomitant methodology in pattern metric analysis well suited for extracting process through the examination of spatial patterns. Applied on the environmental side of population-environment interaction research, pattern metric analysis has not been brought to bear on population data per se. This research illustrates the utility of a pattern metric approach utilizing U.S. Census data from 1990 and 2000 to document changes in spatial configuration of race and class in South Carolina. The results corroborate similar findings elsewhere of exurban growth as well as an increasing income gap and spread of Hispanic population, both statistically and spatially. Further insight into the forces related to these processes is gained from explicit assessment of spatial configuration. The method is offered as a complementary tool to the richly evolving field of spatial demography.
ISSN:0167-5923
1573-7829
DOI:10.1007/s11113-007-9054-5