Joshua C. Artman.
University of Kansas
Lawrence, Kansas USA
(jartman@ukans.edu)
(Last Updated: Monday, November 20, 2000 12:50:00)
INTRODUCTION
Objectives
Significance of the Study
REVIEW OF THE LITERATURE
Approaches
Modeling Methodologies
Environmental Variables
Scale of Study
METHODOLOGY
Applying the Clustering Software
Collection and Organization
of Variables
Core/ Periphery Approach
to Modeling
Use of Higher vs.
Lower Resolution Data Sets
Accuracy Assessment
Fieldwork
Modeling Potential
Vegetation Distribution
Accuracy Assessment
Projecting Potential
Vegetation Distribution
RESULTS AND DISCUSSION
Core/ Periphery
Approach to Modeling
Initial Clustering with
Imagine
Use
of Higher vs. Lower Resolution Data Sets
Final Clustering with
Imagine
Accuracy Assessment for
Imagine
Core/
Periphery Identification
Fieldwork
Discussion
Modeling Potential
Vegetation Distribution
Clustering with LoiczView
Discussion
Accuracy Assessment for
LoiczView
Comparing Clustering
Using LoiczView and Imagine
Projecting
Potential Vegetation Distribution