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A platform for research: civil engineering, architecture and urbanism
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero‐inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire‐tailed Gudgeon), a native species to eastern Australia. Copyright © 2011 John Wiley & Sons, Ltd.
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Ecologists are frequently confronted with the challenge of accurately modelling species abundance. However, this task requires one to deal with both presence/absence as well as abundance. Traditional Poisson regression models are not adequate when attempting to deal with both issues simultaneously. Zero‐inflated regression models have been proposed to deal with this problem with much success. We extend these models to incorporate both a multilevel hierarchical structure and spatial correlation. The model is illustrated using a dataset concerning the Hypseleotris galii (Fire‐tailed Gudgeon), a native species to eastern Australia. Copyright © 2011 John Wiley & Sons, Ltd.
A hierarchical zero‐inflated Poisson regression model for stream fish distribution and abundance
Boone, E.L. (author) / Stewart‐Koster, B. (author) / Kennard, M.J. (author)
Environmetrics ; 23 ; 207-218
2012-05-01
12 pages
Article (Journal)
Electronic Resource
English
Semiparametric zero-inflated Poisson models with application to animal abundance studies
| Online Contents | 2007