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Abstract Details
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Activity Number:
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206
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Type:
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Roundtables
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Date/Time:
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Monday, July 30, 2012 : 12:30 PM to 1:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #304489 |
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Title:
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Spatial Thinking for Environmental Processes
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Author(s):
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Alan Gelfand*+
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Companies:
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Duke University
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Address:
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Dept of Statistical Sciences, Durham, NC, 27708,
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Keywords:
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spatial pattern ;
hierarchical models ;
contaminant exposure ;
biodiversity
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Abstract:
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The discussion will focus on why spatial thinking matters for environmental processes. Illustrative contexts can include (i) exposure to pollutants/contaminants, e.g., ozone or particulate matter, perhaps with attempted linkage to adverse health outcomes and (ii) biodiversity including species distributions, abundance, richness, and diversity. As the discussion flows, we will consider types of spatial data, what spatial pattern/structure means for an environmental process, scale and misalignment issues, and adding dynamics for space-time structure. The value of multi-level or hierarchical modeling emerges in such settings to provide an integrative view of the process, employing available data sources, enabling full inference and uncertainty.
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Authors who are presenting talks have a * after their name.
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