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Related Experiment Video

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A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

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A scoping review of spatial cluster analysis techniques for point-event data.

Charles E Fritz¹, Nadine Schuurman, Colin Robertson

¹Department of Geography, Faculty of Environment, Simon Fraser University, Burnaby, BC, Canada. charles.e.fritz@gmail.com

Geospatial Health

|June 5, 2013

Summary

This study reviews spatial cluster analysis methods used in research. It highlights common techniques and identifies key themes for effective application in spatial epidemiology.

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Area of Science:

Spatial analysis
Epidemiology
Statistics

Background:

Spatial cluster analysis is an interdisciplinary field requiring communication across researchers and practitioners.
Disseminating best practices and addressing challenges is crucial for advancing spatial analysis methods.

Purpose of the Study:

To systematically review research employing spatial cluster analysis on individual-level or geocoded data.
To identify common methods, thematic issues, and provide recommendations for applied spatial epidemiology.

Main Methods:

Conducted a scoping review of peer-reviewed journal databases.
Searched for studies using spatial cluster analysis on individual-level, address location, or coordinate data.
Tested methods using a dataset with known clusters.

Main Results:

Point pattern methods, spatial clustering, cluster detection tests, and locally weighted spatial regression were common for individual-level data (n=29).
The spatial scan statistic was the most popular method for address location data (n=19).
Identified six key themes: exploratory analysis, visualization, spatial resolution, aetiology, scale, and spatial weights.

Conclusions:

Researchers should consider the strengths and limitations of various spatial cluster analysis methods.
Applied spatial epidemiologists should use multiple tests and consider appropriate spatial weighting schemes.
Future research should focus on frameworks for method selection in spatial analysis.