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Related Experiment Video

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)

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The concentration-coverage curve: a tool for ecological studies.

Philippe Finès¹

¹Health Information and Research Division, Statistics Canada, Ottawa, Ontario, K1A 0T6. Philippe.Fines@statcan.gc.ca

|February 21, 2009

Summary

This study introduces a graphical tool to assess if a population is concentrated in selected areas for ecological studies. The concentration-coverage curve helps determine reliable interpretations for specific populations, like the Inuit in rural Canada.

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Area of Science:

Ecological studies
Population analysis
Geographic data analysis

Background:

Selective approaches in ecological studies aim to interpret a population of interest (PI) from a subset of units of analysis (UAs).
Reliable interpretations depend on the PI being concentrated in selected UAs and rare elsewhere.
A graphical tool is presented to evaluate these concentration and rarity conditions.

Purpose of the Study:

To present a graphical tool for assessing the suitability of selective approaches in ecological studies.
To determine if a population of interest (PI) is sufficiently concentrated within chosen units of analysis (UAs).
To aid researchers in ensuring the reliability of ecological interpretations based on selected UAs.

Main Methods:

Utilizes data from the 1996 Census of Canada for Inuit and Métis ancestry populations.
Employs a classification statistics table to construct a concentration-coverage curve for a given PI.
Analyzes the shape of the concentration-coverage curve to assess the feasibility of selecting a threshold for adequate concentration and coverage.

Main Results:

The concentration-coverage curve demonstrated that the Inuit population in rural areas is classifiable.
Conversely, the Métis population in rural areas was found to be not classifiable using this method.
Highlights differential concentration patterns within Aboriginal peoples in rural Canada.

Conclusions:

The developed graphical tool and method are applicable to various ecological studies.
The approach is suitable for studies focusing on the proportion of individuals with a single, binary-defined characteristic.
Provides a quantitative method for evaluating the reliability of selective sampling in ecological research.