Estimating Abundance from Counts in Large Data Sets of Irregularly Spaced Plots using Spatial Basis Functions-Reference-Cited by-同舟云学术

Estimating Abundance from Counts in Large Data Sets of Irregularly Spaced Plots using Spatial Basis Functions

Published:2014-12-19 Issue:1 Volume:20 Page:1-27
ISSN:1085-7117
Container-title:Journal of Agricultural, Biological, and Environmental Statistics
language:en
Short-container-title:JABES

Author:

Ver Hoef Jay M.,Jansen John K.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Environmental Science,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s13253-014-0192-z.pdf

Reference47 articles.

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2. ——— (2006), “Modelling spatial point patterns in R”, in Case Studies in Spatial Point Pattern Modelling, eds. Baddeley, A., Gregori, P., Mateu, J., Stoica, R., and Stoyan, D., New York: Springer-Verlag, no. 185 in Lecture Notes in Statistics, pp. 23–74, ISBN: 0-387-28311-0.

3. Banerjee, S., Carlin, B. P., and Gelfand, A. E. (2004), Hierarchical Modeling and Analysis for Spatial Data, New York, New York, USA: Chapman & Hall/CRC.

4. Barber, J. J. and Gelfand, A. E. (2007), “Hierarchical spatial modeling for estimation of population size”, Environmental and Ecological Statistics, 14, 193–205.

5. Berman, M. and Turner, T. R. (1992), “Approximating Point Process Likelihoods with GLIM”, Journal of the Royal Statistical Society. Series C(Applied Statistis), 41, 31–38.

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