EstimateS75

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About EstimateS EstimateS 7.5 is a free software application for Windows and Macintosh operating systems that computes a variety of biodiversity functions, estimators, and indices based on biotic sampling data. Some features require species relative abundance data, others only species presence/absence data. A comprehensive User's Guide is available online at this site.

Major Features Rarefaction and species accumulation curves

Computes expected species accumulation curves (sample-based rarefaction curves in the terminology of Gotelli & Colwell 2000), with 95% confidence intervals, using the analytical formulas of Colwell & Mao (2004). This method is a precise equivalent of, and completely replaces the resampling technique used in previous versions of EsimateS for computing these curves. (Resampling is still used to compute richness estimators for accumulating samples.) Computes individual-based rarefaction curves (Coleman curves) for sample-based abundance data. Species richness estimators and diversity indices Computes non-parametric species richness estimators for abundance-based data (Chao 1 and ACE) and for sample-based data (Chao2, ICE, first and second order Jackknives, and Bootstrap). For Chao1 and Chao 2, computes log-linear confidence intervals. Computes a species richness estimator based on fitting an asymptotic function (the Michaelis-Menten equation) to the sample-based rarefaction curve. Computes Shannon, Simpson, and Fisher's alpha diversity indices. Shared species estimation and biotic similarity indices, with estimators Computes Chao's estimator of total shared species (including observed and unseen shared species) for sample pairs. Computes classic Sørensen and Jaccard similarity indices for sample pairs based on incidence (presence-absence) or abundance data sets Computes Chao's abundance-based Sørensen and Jaccard similarity indices, with statisically rigorous estimators and their standard errors, for sample pairs based on abundance or on replicated incidence (presence-absence) data sets. Computes Morisita-Horn and Bray-Curtis (= "Sørensen quantitative") similarity indices for sample pairs based on abundance data sets. Importing data and exporting results For input, accepts tab-delimited (ograniczony), plain text files (produced by programs such as Excel, using "Save As Tab-delimited Text") (unicode), in either of two matrix formats (species-by-sample or , sample-by-species) or either of two "triplet" formats ([species index, sample index, value]; or [sample index, species index, value]). For input, accepts pre-formatted sample-by-species matrices exported by Biota: The Biodiversity Database Manager.


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