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Abstract Details
Activity Number:
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41
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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Abstract - #306565 |
Title:
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Comparing Changes in Population Density via Deformation Metrics
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Author(s):
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Miriam Hodge*+
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Companies:
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University of Canterbury
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Address:
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University of Canterbury, Christchurch, _, 8140, New Zealand
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Keywords:
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Abstract:
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Studies of animal populations typically involve collecting observations that have both a spatial and a temporal context. For example, observations from a long term study of animal populations across a heterogeneous area will have spatial and temporal references. Each observation records the animal density, the geographic location and the time point. Non-parametric regression is a useful analysis tool to describe the population density mapped to the study area in a given year. The result is a series of surfaces, one for each time period, which collectively describe the population change over time. We present a novel method to compare the surface shape as a way of describing change. We compare these surfaces using metrics developed for comparing shapes in medical imagery. Metrics based on deformation, a technique developed for anatomical surfaces, are adapted to compare non-parametric regression surfaces.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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