Spring 2004 Brief Course Description:

Course objectives: Learn what a spatial process model is and how to parameterize, run, and use a spatial process model

 Goal: Develop a basic understanding of empirical versus process models and modeling. Develop a basic understanding of the range and types of biophysical models.  Parameterize and run, in a spatially distributed manner, a/some process models for a/some selected pilot study areas (i.e. fire behavior, forest growth, fire fuels etc. are potential types of models we may choose).

 To this end, in sequence, we will:

         establish a conceptual framework and build a bibliography of relevant literature about models and modeling; read and discuss relevant literature

         identify candidate process models and tools required for spatial implementation;

         determine spatial parameterization requirements (i.e. what data layers do we need and how do we get or develop them?);

         choose a/some pilot study sites where basic spatial data layers are available;

         build the spatial data layers required to run and test a/some process model(s);

         to the best of our abilities, evaluate the usefulness of these integrated tools.

 Participant responsibilities:

         attend class and participate in discussions;

         read assigned papers and book chapters;

         lead discussion on particular assigned readings;

         participate in lab exercises;

         take initiative in searching out new literature or information about spatial data layers that you will be responsible for;

         provide input and disciplinary perspective;

         contribute to class exercises and team goals.