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Related Experiment Video

Updated: Jun 2, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Spatial accessibility and availability measures and statistical properties in the food environment.

E Van Meter¹, A B Lawson, N Colabianchi

¹Division of Biostatistics and Epidemiology, College of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA. EmilyVanMeter@gmail.com

Spatial and Spatio-Temporal Epidemiology

|April 19, 2011

Summary

This study introduces statistical tests for spatial accessibility and availability indices, crucial for health sciences research. These methods enable robust comparisons of food access between different geographic areas.

Keywords:

CI Cp Monte Carlo tests Moran's I accessibility availability clustering indices simulation test

Related Experiment Videos

Last Updated: Jun 2, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq

Published on: March 19, 2021

Area of Science:

Health Sciences
Spatial Statistics
Geographic Information Systems (GIS)

Background:

Spatial accessibility and availability indices are increasingly vital in health research.
Evaluating the statistical reliability of these indices is essential for accurate health outcome analysis.
Existing methods lack robust inferential capabilities for comparing different study regions.

Purpose of the Study:

To develop and validate statistical tests for spatial accessibility and availability indices.
To enable inferential comparisons of food access between distinct geographic areas.
To assess the performance of these tests using simulation and real-world data.

Main Methods:

Extensive simulations using cluster models for local food outlet density.
Derivation of Monte Carlo critical values for statistical tests.
Development of tests for mean differences and differences in Moran's I (spatial autocorrelation).

Main Results:

Monte Carlo critical values were successfully derived for various statistical tests.
The developed tests demonstrated the ability to make inferential comparisons between study areas.
Simulations confirmed the utility of the new statistical approaches for spatial health data.

Conclusions:

The proposed statistical tests enhance the inferential power of spatial accessibility and availability indices.
These methods provide a statistically sound basis for comparing food access across different regions.
The study offers valuable tools for researchers investigating the health impacts of food environments.