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Archive for the ‘Methodology’ Category

This is Part 3 of my series on using exploratory and inferential data analysis (EDA) to solve practical problems in complex environmental scenarios. Example 3 addresses a lawsuit against a major manufacturing facility and how, as an expert witness, I used EDA to show that the accused manufacturer could not be held liable for metal contamination of neighborhood soils.

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This example addresses the use of exploratory data analysis (EDA) on data from Manistee Lake, Michigan. Part of the goal was to develop a conceptual site model (“CSM”) based on available data to help understand the contaminant issues in the lake and determine which of the contaminants were harming the lake biota. Results showed that damage was from a suite of contaminants all related to a specific type of shoreline issue, i.e., coal storage in piles.

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Techniques known as exploratory data analysis can be used to achieve a better understanding of scientific data than is usually acquired from typical charts and tables. This can be important when there are difficult scientific questions and problems that require a more comprehensive understanding.

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We scientists pride ourselves on doing work that is based solely in reality, with no personal bias injected. The most realistic among us realize that to do so is a very tall order indeed.There are numerous life circumstances that can influence scientific judgment. Not least of these is the circumstance of employment and financial security.

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