Other Programs by PISCES Conservation Ltd
Hedgerow Assistant
The reliable way to survey hedgerows under the 1997 Hedgerows Regulations.
 is a Windows  program with a range of analytical techniques to detect,
visualise and order relationships in multivariate data where the researcher has
information on both the species present and the most influential environmental
The principal methods are:
Canonical Correspondence Analysis (CCA),
Redundancy Analysis (RDA)
Multiple Regression (MR).
Researchers in other fields such as palaeontology, archaeology and the social
sciences also use many of these methods.
A particular feature of 
 is the graphical output that enables you to quickly
visualise the complex relationships within their data set. For example, CCA output
includes plots of sample and species ordinations, environmental correlation
vectors and biplots of species arranged along individual environmental axes. All
aspects of the graphs can be altered, and printed or exported in a wide variety of
The user supplies two input data sets, in a 2 D array, holding the biological and
physical data for the samples (sites) respectively. In ecology, it is usual for the
samples, which are normally collected from set localities and may be called, for
example, quadrates or stations, to form the columns. The variables for each
sample are the rows and in the case of the biological data comprise the numbers
of each species or other taxon observed.
The environmental data may be either continuous variables such as pH,
temperature or current speed; or binary variables such as soil or treatment type,
which are scored as either a 0 or 1. 
Analysis Package) and 
Species Diversity and Richness II (SDR)
, also
produced by PISCES, which offer a range of techniques that only require
biological data to undertake the analysis.
Species Diversity and Richness II
A program to calculate and compare species diversity, estimate total species
richness and study patterns of abundance
Species diversity and richness
 is a Windows 95/98 program designed for both the
professional ecologist and students. The methods on offer range from the
familiar, such as the calculation of various diversity indices and the fitting of
common distributions to more recently developed techniques such diversity
ordering and total species richness estimators. Together they provide a powerful
suite of methods to explore, compare and analyse community diversity. 

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