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On-line
statistics
|
Nearest Neighbour Sorting
Working out Søerensen's
Quotient or Peterson's Index (or
any other similarity value) tells you how alike two samples are
(approaching 0 = dissimilar, approaching 1 = nearly identical).
However, when you have sampled more than two sites and wish to
investigate similarities and differences between them, how can
you present your data to show the whole picture? When only a few
sites have been sampled a simple table showing the similarity
value for all possible pairwise combinations may be sufficient.
For example for six samples:
|
Site |
1 |
2 |
3 |
4 |
5 |
6 |
|
1 |
X |
0.84 |
0.03 |
0.04 |
0.56 |
0.74 |
|
2 |
|
X |
0.04 |
0.09 |
0.45 |
0.62 |
|
3 |
|
|
X |
0.75 |
0.15 |
0.13 |
|
4 |
|
|
|
X |
0.13 |
0.11 |
|
5 |
|
|
|
|
X |
0.62 |
When many samples have been taken
the best way to present the data is as a 'cladogram'. Nearest
neighbour sorting is a crude but quick method of clustering sites
by similarity. The highest value in the table (0.84) shows that
the two most similar sites are 1 and 2. The next highest (0.75)
shows that sites 3 and 4 are similar. The next highest value is
(0.74) and indicates a similarity between 6 and 1; site 6 can
therefore be clustered with sites 1 and 2. The results can be
presented as:
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Ted Gaten Department of Biology gat@le.ac.uk
Entry approved
by the Head of Department. Last Updated: May 2000