15 June 2013
Major new features of EstimateS 9
- A comprehensively revised User's Guide covering all the new features in EstimtateS 9 and all the traditional ones of previous versions.
- An entirely new capability for handing individual-based rarefaction with true (unconditional) confidence intervals (and of course, sample-based rarefaction, the core of all previous versions of EstimateS).
- Rarefaction of richness estimators and diversity indices for individual-based data (as well as sample-based data, as in previous versions).
- Non-parametric extrapolation of rarefaction curves for both sample-based and individual-based data (Colwell et al. 2012).
- Batch input and export option for both sample-based and individual-based datasets.
- Options for computing, displaying, and exporting subsets of results for evenly-spaced intervals for rarefaction and extrapolation of samples or individuals (interval-sampling or knots).
- Automatic support for International and US number formats.
- EstimateS 9 for Windows runs under Windows 8, Windows 7, Vista, and XP.
- EstimateS 9 for Mac OS runs under OS 10.5 (Leopard) through 10.8 (Mountain Lion).
- EstimateS 9 is blazing fast, compared to earlier versions.
With these classic features of previous versions
- Computes Colwell and Mao's smooth species accumulation curves (sample-based rarefaction curves) with true confidence intervals, based on analytical formulas (Colwell et al. 2004).
- Computes a wide range of species richness estimators for sample-based abundance and incidence (presence/absence) data (Chao, Jackknife, ICE, ACE and others).
- Computes asymmetric (log-transformed) confidence intervals for Chao1 andChao2.
- Computes diversity indices (Shannon, Simpson, Fisher's alpha, Hill numbers).
- All richness estimators and diversity indices are computed for every level of sample accumulation, averaged over resamplings.
- Choice of resampling with or without replacement.
- Computes Chao's shared species estimator for sample pairs.
- Computes Chao's Sørensen and Jaccard similarity estimators (Chao et al. 2005).
- Computes classic Jaccard, Sørensen, Bray-Curtis, and Morista-Horn similarity indices for sample pairs.
Homepage references (many more in the User's Guide)
Colwell, R. K., A. Chao, N. J. Gotelli, S.-Y. Lin, C. X. Mao, R. L. Chazdon, and J. T. Longino. 2012. Models and estimators linking individual-based and sample-based rarefaction, extrapolation, and comparison of assemblages. Journal of Plant Ecology 5:3-21. Read it online or download pdf.
Colwell, R. K., C. X. Mao, & J. Chang. 2004. Interpolating, extrapolating, and comparing incidence-based species accumulation curves. Ecology 85, 2717-2727. Download pdf. Spanish Version: Download pdf.
Chao, A., R. L. Chazdon, R. K. Colwell, and T.-J. Shen. 2005. A new statistical approach for assessing compositional similarity based on incidence and abundance data. Ecology Letters 8:148-159. Download pdf. Spanish Version: Download pdf.