Objectives:

    1.  Create a model that predicts the regional potential vegetation distribution of Mexico using globally available climatic and terrestrial data sets.

    2.  Examine modeling potential vegetation distribution using the core/ periphery approach to predicting both core and transitional regions of each vegetation class.
 

Significance of the Study:

    1.  Innovative clustering models are used that have unique clustering and visualization capabilities, providing insights into climate and vegetation interaction.

    2.  The core/ periphery approach to modeling vegetation provides insights into the interaction between climate and vegetation.

    3.  Scale-dependent needs of environmental classification are addressed, which will identify the benefits and weaknesses of using globally available as compared
         to regionally available data sets.
 
 
 
 

home           Literature Review