vicman000

Principle Component Analysis (PCA)... High Eigenvalues!

Discussion created by vicman000 on Jun 21, 2011
Latest reply on Sep 29, 2011 by armagan70
I'm new on this forum but regularly read some of the posts.
I'm currently trying to make principle components with 19 climatic variables. They are all from WORLDCLIM in the same coordinate system and same extent. By default I created 19 principle components and it worked! But I realized the eigenvalues were really high. Here is what I get for the first 3.

PCA   Eigenvalues
1-     7.652846e+004
2-     3.276850e+003
3-     9.996242e+002

Why are they so high? In regular PCAs, the eigenvalues are usually equal or lower than the  number number of variables... Is it different because were are dealing with spatial analyses?

Thank you,
Victor

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