Abstract
In environmental surveys, due to environment fluctuations, the population could be spread on a wide study area so that the population density is low but many units are concentrated inside small regions. In this case, we say that the biological community is clustered. In this setting, we propose the multivariate adaptive sampling to estimate biological diversity. In particular, in order to describe the diversity of a biological population, we consider several distribution models for the abundance vector. By means of a suitable simulation study, limits and advantages of using adaptive sampling designs are emphasized for each abundance model considered.
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Gattone, S.A., Di Battista, T. (2004). The Multivariate Adaptive Sampling for Estimating the Diversity in Biological Populations. In: Bock, HH., Chiodi, M., Mineo, A. (eds) Advances in Multivariate Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17111-6_20
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DOI: https://doi.org/10.1007/978-3-642-17111-6_20
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