Biodiversity-pro.software.informer.com at KeyOptimize. Biodiversity pro (bdpro32.exe). Biodiversity pro software is a free statistical package program for windows pc. BioDiversity Pro Software Informer. Featured BioDiversity Pro free downloads and reviews. Latest updates on everything BioDiversity Pro Software related. Abstract: BioDiversity Pro was designed and developed by Neil McAleece. This package was devised jointly by P.J.D. Lambshead and G.L.J. Paterson of the The Natural History Museum in London and J.D. Gage of the Scottish Association for Marine Science, Oban, Scotland.The program will calculate automatically, using only the selected samples and the current program options. When the calculation is finished, a. Graph and results spreadsheet will pop-up (according to the user options) showing the results of the calculation. There are four types of calculation to be performed, as noted below: 1) Alpha: Defined by Whittaker as local diversity, used here for calculations based on single samples, also known as univariate diversity measures. A) Abundance Plot: K-Dominance > Rank b) Abundance Model: Log-Series > Broken Stick c) Rarefaction d) Diversity Indices: Shannon > Alpha > Caswell > Berger-Parker > Simpson > Hill > Margalef > McIntosh 2) Beta: SHE Analysis > Species Richness > Species Distribution 3) Multivariate: Simultaneous analysis of more than one independent variable. Used here for ordination and clustering techniques. These are powerful descriptive methods which can suggest correlations between biodiversity patterns and potential causes but cannot resolve cause and effect. In particular, the user is warned that is uncomfortably easy to fall into circular reasoning (groups defined by the method are justified as 'real' because the method has defined them). Where a signal in the data is strong then all the methods will tend to give similar results. Where the signal is weak, or a multiplicity of signals confuses the issue, different methods may give alternative results. It is therefore worth trying more than one technique or optimisation. Principal Components > Correspondence Analysis > Cluster Analysis > Non-Metric MDS 4) Comparisons: Simple comparisons of the data including statistical tests. Descriptive Statistics > Kulczynski > Mann-Whitney > Rank Correlation > Correlation > Variance-Covariance > ANOSIM. (Source: BioDiversity Pro, 1997 NHM & SAMS). Use Constraints Copyright Information and Disclaimer: BioDiversity Professional, and all related work and documentation 'the Software', is the copyright work of The Natural History Museum and the Scottish Association for Marine Science 'the Establishments'. Use of the software is governed by the following agreement. The Software is made available for use solely for end users according to the following. Any reproduction or redistribution of the Software not in accordance with this agreement is expressly prohibited by law and can result in civil and criminal penalties. Reproduction or redistribution of the Software is permitted provided that all of the files, graphics and documentation ( including this copyright and permissions notice ) are included, unaltered. Abstract: BioDiversity Pro was designed and developed by Neil McAleece. This package was devised jointly by P.J.D. Biodiversity ExamplesBiodiversity Pros And ConsLambshead and G.L.J. Paterson of the The Natural History Museum in London and J. Inner bearing puller slide hammer. D. Gage of the Scottish Association for Marine Science, Oban, Scotland.The program will calculate automatically, using only the selected samples and the current program options. When the calculation is finished, a. Graph and results spreadsheet will pop-up (according to the user options) showing the results of the calculation. There are four types of calculation to be performed, as noted below: 1) Alpha: Defined by Whittaker as local diversity, used here for calculations based on single samples, also known as univariate diversity measures. A) Abundance Plot: K-Dominance > Rank b) Abundance Model: Log-Series > Broken Stick c) Rarefaction d) Diversity Indices: Shannon > Alpha > Caswell > Berger-Parker > Simpson > Hill > Margalef > McIntosh 2) Beta: SHE Analysis > Species Richness > Species Distribution 3) Multivariate: Simultaneous analysis of more than one independent variable. Used here for ordination and clustering techniques. These are powerful descriptive methods which can suggest correlations between biodiversity patterns and potential causes but cannot resolve cause and effect.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |