Samantha Prins

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To assess environmental health of a stream, field, or other ecological object, characteristics of that object should be compared to a set of reference objects known to be healthy. Using streams as objects, we propose a k-nearest neighbors algorithm (Bates Prins and Smith, 2006) to find the appropriate set of reference streams to use as a comparison set for(More)
We study a model-based clustering procedure that aims to identify geographic regions with distinctive relationships among ecological and environmental variables. We use a finite mixture model with a distinct linear regression model for each mixture component, relating a measure of environmental quality to multiple regressors. Component-specific values of(More)
—Data collected on the population status (extirpated or present) of brook trout Salvelinus fontinalis at the landscape level across the eastern United States is useful for identifying important stressors and predicting brook trout status at the watershed level. However, when dealing with data compiled over a large region, a single model may not adequately(More)
There is significant evidence that active learning techniques facilitate superior learning outcomes when compared to traditional lecture-based techniques. However, adopting an entirely new pedagogy is a time-consuming endeavor that requires considerable effort. In this work, we describe simple transitional steps that we used to increase the amount of active(More)
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