Advanced Topics in Assessment and Modeling of Forests
FR 5228 - Winter 1999
(4 Credits)

This course is aimed at graduate students and advanced undergraduates who wish to explore additional topics in quantitative methods applicable to forest resources assessment and modeling. Topics are chosen based on the interests/backgrounds of the students. Readings are from the current scientific literature. Detailed data analysis projects are assigned for each of the topics presented.

Meeting Times

Tuesdays 10:30 - 11:45
Thursdays 10:30 - 11:45


Week 1 - Linear regression and Arc software overview
Week 2 - Nonlinear regression
Week 3/4 - Building regression models/special fitting considerations
Weeks 4/5 - Traditional forest growth and yield models
Week 6 - Ecosystem process models
Week 7 - Model evaluation and simulation
Week 8 - Imputation in forest inventory
Week 9 - Using auxiliary information in sampling
Week 10 - Broad-scale, annual forest inventories


Links are to rich text format documents

I - Building regression models
II - Growth and yield models
III - Model evaluation
IV - Sampling ideas

Software references

Using Arc (PDF)
Nonlinear Regression in XLISP-STAT summary document (PDF) (do not distribute address beyond this class)

In winter 1997 the course looked like ...

In winter 1995 the course (under a different name) looked like ...

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© 1999 Regents of the University of Minnesota
Last Modified Mon Mar 1 15:15:17 CST 1999