Validating the use of generalized additive models and at‐sea surveys to estimate size and temporal trends of seabird populations
By E. Clarke, L. B. Spear, M. Mccracken, F. C. Marques, David L. Borchers, S. T. Buckland, D. Ainley. 2003
98 citations recorded by the source corpus.
Subfields: Ecology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/05cfc1eb90466f5425aa728057eb408ff98e4881
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In Ecology
In Statistics and Probability
Citations in the corpus
- Foraging dynamics of seabirds in the Eastern tropical pacific ocean (2007, methodology): “To accomplish this, we used generalized additive models (GAMs; Hastie and Tibshirani 1990) and the software and analytical procedure of Clarke et al. (2003) implemented using S-Plus (S-Plus 1997).”
- Species distribution models and ecological theory: A critical assessment and some possible new approaches (2007, methodology): “The approach adopted is locally weighted regression (LOWESS Cleveland and Devlin, 1988) of presence/absence data.”
- Oceanographic influences on seabirds and cetaceans of the eastern tropical Pacific: A review (2006, methodology): “Since that time, survey methods have been standardized, and strip- and line-transect methods developed to allow for quantitative collection, analysis, and comparison of data in a systematic way (Brown, 1980; Tasker et al., 1984; Haney, 1985; Tasker et al., 1985; Briggs et al., 1987; Gaston et al., 1”
- Physical and biological variables affecting seabird distributions during the upwelling season of the northern California Current (2005, methodology): “8 We used generalized additive models (GAMs; Hastie and Tibshirani, 1990) to estimate population sizes (see Clarke et al. 2003, for details on methodology used in this study) of the more abundant species (see above).”