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Related Experiment Videos

Built environment and behavior: spatial sampling using parcel data.

Chanam Lee1, Anne Vernez Moudon, Jean-Yves Pip Courbois

  • 1Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station 77843-3137, USA. clee@archone.tamu.edu

Annals of Epidemiology
|July 12, 2005
PubMed
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A new spatial sampling strategy improves environment-behavior research by using parcel-level data. This method ensures environmental variable distribution and avoids neighborhood aggregation issues for better results.

Area of Science:

  • Environmental Psychology
  • Urban Planning
  • Geographic Information Systems (GIS)

Background:

  • Inferential research quality depends on sampling methods.
  • Environment-behavior research faces challenges in sampling based on built environmental characteristics.

Purpose of the Study:

  • Introduce a novel spatial sampling strategy for environment-behavior research.
  • Address limitations of traditional neighborhood-based sampling.
  • Enhance the quality and economy of inferential research.

Main Methods:

  • Spatial sampling involves defining the population, creating a sample frame with parcel-level GIS data, and determining sampling design and size.
  • Illustrated with a study on environmental correlates of walking and biking.
  • Utilizes parcel-level environmental data for precise sampling.

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Main Results:

  • Spatial sampling ensures variation and distribution of environmental variables while controlling for confounding factors.
  • Using individuals as the unit of analysis is economical, generalizable, and interpretable.
  • Avoids erroneous a priori neighborhood definitions and aggregation problems.

Conclusions:

  • Spatial sampling facilitates the discovery of new or stronger environment-behavior associations.
  • Supports the social ecological model in research.
  • Enables consideration of detailed environmental variables for robust findings.