Abstract
The quadrat sampling technique is frequently used in ecology for estimating diversity or analyzing the spatial point pattern of a population. For testing the null hypothesis of spatial randomness against cluster alternatives, Solow and Smith (1991) applied the species-area curve, i.e. the mean number of species in q quadrats. The authors proposed to use a simulation procedure because the calculation of the exact quantiles of the test is computationally costly for large numbers of quadrats, species, and individuals. As an alternative, we propose the use of maximum statistics, and we derive upper and lower bounds for the upper P-values. By combining the upper bounds for the different species we derive tests for spatial clusters. An extension similar to the species-area curve is suggested. The procedures are illustrated by analyzing two data sets from ecological studies.
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© 1993 Springer-Verlag Berlin · Heidelberg
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Krauth, J. (1993). Spatial Clustering of Species Based on Quadrat Sampling. In: Opitz, O., Lausen, B., Klar, R. (eds) Information and Classification. Studies in Classification, Data Analysis and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-50974-2_2
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DOI: https://doi.org/10.1007/978-3-642-50974-2_2
Publisher Name: Springer, Berlin, Heidelberg
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