Dear All:

I have a set of nine independent variables (extracted Landsat TM band 
DNs, land surface temperature, and NDVI) and a set of eight response 
variables (presence/absence breeding season survey of eight bird 
species). I'm doing a small exercise to try to find a model that best 
fits the relationship between the independent variables and species 
occurrence and then apply that model to another set of independent 
variables from another time period (and even from another area) and see 
what the distribution might be at that time (or place).

I am currently working with the packages BIOMOD Gstat and spatstat. I'm 
wondering if there are any others I'm not aware of that could further 
help me?

Thanks in advance for your time and assistance.

Hakim

-- 

Mit freundlichen Grüßen/Regards
__________________________________
Abdulhakim M. Abdi
Erasmus Mundus Master's Programme in
Geospatial Technologies

Institut für Geoinformatik
Universität Münster
32U 5755408.16mN, 404463.35mE
ifgi.uni-muenster.de

Instituto Superior de Estatística e Gestão de Informação
Universidade Nova de Lisboa
29S 4287095.5mN, 486099.7mE
www.isegi.unl.pt

www.geospatialtechnologist.com
www.hakimabdi.com


	[[alternative HTML version deleted]]

