Dear All
Thanks all of you for your valuable suggestions for my previous queries,
which help me to improve my knowledge better.
I greatly appreciate your kind attention in this matter. I am working on
soil fauna biodiversity and my data consist of soil fauna abundance (count
data from unit area) from 15 different landuse systems. To know the spatial
distribution pattern, in many previous studies (for eg: Seasonal and
land-use induced variations of soil macrofauna composition in the Western
Ghats, southern India, *Soil Biology and
Biochemistry*<http://www.sciencedirect.com/science/journal/00380717>
Volume
37, Issue 6<http://www.sciencedirect.com/science?_ob=PublicationURL&_tockey=%23TOC%235163%232005%23999629993%23585703%23FLA%23&_cdi=5163&_pubType=J&view=c&_auth=y&_acct=C000050221&_version=1&_urlVersion=0&_userid=10&md5=6820623f4f32951905c98a204a6d508f>,
June 2005, Pages 1093-1104), PCA on correlation matrix was conducted.

But some statistician questions using such data in PCA. So my questions in
on the relevance of using PCA in my study for soil fauna abundance data and
interpreting the result. How can interpret the result of PCA here?, The
eigen values and % variance explained by first few factors are suffieceinet
to explain this?. how can I interpret factor loadings and correaltions.

I am awaitng for your elaborate result in this matter.

Thanking in advance

Mujeeb Rahman P
KFRI, Peechi, Thrissur
Kerala, India

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