dc.contributor.author | Royle, J. Andrew | eng |
dc.contributor.author | Wikle, Christopher K., 1963- | eng |
dc.contributor.other | University of Missouri-Columbia. College of Arts and Sciences. Department of Statistics | eng |
dc.date.issued | 2005 | eng |
dc.description | This is the pre-print version of the article found in Environmental and Ecological Statistics. The original publication is available at www.springerlink.com. | eng |
dc.description.abstract | We develop a spatial modeling framework for count data that is efficient to implement in high-dimensional prediction problems. We consider spectral parameterizations for the spatially varying mean of the Poisson model. The spectral parameterization of the spatial process is very computationally efficient, enabling effective estimation and prediction in large problems using Markov chain Monte Carlo techniques. We apply this model to creating avian relative abundance maps from the North American Breeding Bird Survey (BBS) data. Variation in the ability of observers to count birds is modeled as spatially-independent noise, resulting in over-dispersion relative to the Poisson assumption. This approach represents an improvement over existing approaches used for spatial modeling of BBS data which are either inefficient for continental scale modeling and prediction or fail to accommodate important distributional features of count data thus leading to inaccurate accounting of prediction uncertainty. | eng |
dc.identifier.citation | Environmental and Ecological statistics, 12, 225-243. | eng |
dc.identifier.uri | http://hdl.handle.net/10355/9119 | eng |
dc.publisher | Environmental and Ecological Statistics | eng |
dc.relation.ispartof | Statistics publications (MU) | eng |
dc.subject | mapping count data | eng |
dc.subject | spatial statistics | eng |
dc.subject | random effects | eng |
dc.subject.lcsh | Poisson processes | eng |
dc.subject.lcsh | Markov processes | eng |
dc.subject.lcsh | Simulated annealing (Mathematics) | eng |
dc.subject.lcsh | Birds -- Breeding -- Statistical methods | eng |
dc.title | Efficient Statistical Mapping of Avian Count Data | eng |
dc.type | Preprint | eng |