Community Analysis Package
diversity and richness
version 2 offers considerable improvements over version 1.
Existing users will immediately note the redesigned menu system and improved
graphics, data input and printing. Probably the greatest recent improvements
have been the extended range of methods and statistical tests on offer. The
program offers all the analytical tools that a general ecologist needs for analysing
and comparing the diversity of communities. Because most users have now
moved to Windows 95/98 version 2 is not available for Windows 3.1. Version 1 of
the program is supplied for 3.1 users.
Methods available within
Species diversity and richness
9 Alpha diversity indices including Shannon s, Simpson s, Fisher s and Q
Bootstrapping of confidence intervals.
Randomization tests to compare diversity between sites.
2 diversity ordering methods.
6 methods to estimate total species richness
Rank order and species accumulation curves.
Fitting of log series, log normal, geometric and broken stick abundance models
Ability to generate simulated data
4 beta diversity measures
Freshwater quality measures including BMWP, ASPT & Irish quality rating.
Species diversity and Richness
An attractive user interface.
Extensive help system.
Easy data importation.
High quality graphical output.
and is ideal for
Community ecology research.
Ecologists with limited computer experience.
is a Windows program that offers a range of graphical and analytical
techniques commonly used by biologists, geologists and archaeologists for the
analysis of circular data.
Axis implements the principal graphical methods and statistical tests described by
Fisher (1993) in
Statistical Analysis of Circular Data
. Periodic data of many kinds
can be represented and analysed using the methods available within Axis.
While compass bearings are the most obvious examples of circular data, other
examples would be the time of events over a 24 hour period and the occurrence
of activity over the lunar cycle.
Available plots within Axis include linear, circular and angular histograms, and
optional smoothing by Fast Fourier Transform. Tests include: correlation between
samples, uniformity or randomness, and specified mean direction. Simulated data
sets can be created conforming to various distributions.
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