Abstract

This paper presents a SAS macro to estimate adaptive spatial sampling, which has been used to survey rare species. This technique is computationally difficult because of use of algorithms with GIS features such the creation of a grid, points inside polygons and contiguity. The results indicates that the SAS macro that was developed was capable of incorporating these GIS features, as well as estimating the parameters of the adaptive spatial sampling.

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