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Title
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Room
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* ! Spatial Design and Statistical Analysis Issues in Agronomy
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M-London/Zurich
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Date / Time
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Sponsor
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Type
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08/07/2001
10:30 AM
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12:20 PM
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Section on Statistical Consulting*, ENAR
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Invited
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Organizer:
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Robert Tempelman, Michigan State University
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Chair:
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Bahman Shafii, University of Idaho
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Discussant:
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11:50 AM - Linda Young, University of Nebraska
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Floor Discussion
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12:05 PM
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Description
The purpose of this session is to discuss the integration and application of recently developed statistical methodologies to the increasingly complex spatial inferential issues that currently face agronomy researchers. The first talk (Besag and Higdon), illustrates the flexibility of hierarchical Bayesian modeling in terms of the assessment of alternative distributional assumptions and spatial fertility gradients. The second talk (Stroup) involves a discussion of power assessment and computations with respect to various spatial sampling designs within a mixed effects model framework. The third paper (Bullock) provides an overview of the inferential challenges in precision agriculture with case studies illustrating the utility of various data mining and multivariate techniques.
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