JSM 2004 - Toronto

Abstract #300063

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Activity Number: 286
Type: Invited
Date/Time: Wednesday, August 11, 2004 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #300063
Title: Bayesian Hierarchical Modeling of NRI Survey Data
Author(s): Michael D. Larsen*+
Companies: Iowa State University
Address: Dept. of Statistics, Ames, IA, 50011,
Keywords: multilevel modeling ; survey weights ; missing data ; imputation ; shrinkage estimation ; Bayesian modeling
Abstract:

The USDA Natural Resource Conservation Service (NRCS) conducted the National Resource Inventory (NRI) every five years from 1982 to 1997. The survey design was changed in 2000 to an annual supplemented panel design. The two-stage stratified area sample survey selects land segments as the primary sampling units, then points within the segments as the secondary sampling units. Information is gathered on land use and the presence of water, trees, roads, and structures on non-federal lands using a combination of fly-over photography and site visits. The results are used in erosion modeling and monitoring Conservation Reserve Program (CRP) lands and wetlands. Efforts to model the hierarchical geographical structure of the data and to account for temporal and spatial relationships will be reported. Use of previous waves of data collection and covariate information will be discussed. This is joint ongoing work with colleagues at Iowa State University.

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