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ads is an R package that performs multi-scale spatial point pattern analyses through methods derived from Ripley's K-function. These methods apply to univariate, multivariate or marked point data mapped in a rectangular, circular or irregular-shaped sampling window. Specific tests of statistical significance based on Monte Carlo simulations are associated to these methods. The main features of ads is to call fast C subroutines for computing Ripley's unbiased local correction of edge effects for various sampling window configurations and for performing Monte Carlo simulations. It thus allows one to analyze large datasets and to compute robust confidence envelopes. This paper is an introduction to ads version 1.5, focusing on its complementarity with the other R packages for spatial point pattern analysis, and on recent original developments towards the introduction of multivariate functions for analyzing spatial pattern of species diversity.

journal of statistical software

<b>ads</b>Package for<i>R</i>: A Fast Unbiased Implementation of the<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>K</mml:mi></mml:mrow></mml:math>-function Family for Studying Spatial Point Patterns in Irregular-Shaped Sampling Windows

adsPackage forR: A Fast Unbiased Implementation of theK-function Family for Studying Spatial Point Patterns in Irregular-Shaped Sampling Windows