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.
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