On the impact of preferential sampling on ecological status and trend assessment
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DOI: 10.1016/j.ecolmodel.2024.110707
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- Fernández, Daniel & Nakamura, Miguel, 2015. "Estimation of spatial sampling effort based on presence-only data and accessibility," Ecological Modelling, Elsevier, vol. 299(C), pages 147-155.
- J. Koop, 1972. "On the derivation of expected value and variance of ratios without the use of infinite series expansions," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 19(1), pages 156-170, December.
- Merckx, Bea & Steyaert, Maaike & Vanreusel, Ann & Vincx, Magda & Vanaverbeke, Jan, 2011. "Null models reveal preferential sampling, spatial autocorrelation and overfitting in habitat suitability modelling," Ecological Modelling, Elsevier, vol. 222(3), pages 588-597.
- Daniel Vedensky & Paul A. Parker & Scott H. Holan, 2023. "A Look into the Problem of Preferential Sampling through the Lens of Survey Statistics," The American Statistician, Taylor & Francis Journals, vol. 77(3), pages 313-322, July.
- J. F. Lawless & J. D. Kalbfleisch & C. J. Wild, 1999. "Semiparametric methods for response‐selective and missing data problems in regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(2), pages 413-438, April.
- Alan E. Gelfand & Sujit K. Sahu & David M. Holland, 2012. "On the effect of preferential sampling in spatial prediction," Environmetrics, John Wiley & Sons, Ltd., vol. 23(7), pages 565-578, November.
- Guillaume Chauvet & Yves Tillé, 2006. "A fast algorithm for balanced sampling," Computational Statistics, Springer, vol. 21(1), pages 53-62, March.
- Ram Tripathi & Ramesh Gupta & John Gurland, 1994. "Estimation of parameters in the beta binomial model," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(2), pages 317-331, June.
- Peter J. Diggle & Raquel Menezes & Ting‐li Su, 2010. "Geostatistical inference under preferential sampling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 191-232, March.
- Kenneth F Kellner & Robert K Swihart, 2014. "Accounting for Imperfect Detection in Ecology: A Quantitative Review," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-8, October.
- D. Pati & B. J. Reich & D. B. Dunson, 2011. "Bayesian geostatistical modelling with informative sampling locations," Biometrika, Biometrika Trust, vol. 98(1), pages 35-48.
- Daniel Dinsdale & Matias Salibian‐Barrera, 2019. "Methods for preferential sampling in geostatistics," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(1), pages 181-198, January.
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Keywords
Biased site selection; Spatial sampling processes; Propensities; Range shift; Abundance gradient; Conditional poisson sampling;All these keywords.
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