Transcript ESM 206: Environmental Statistics and Data Analysis

ESM 206: Environmental
Statistics and Data Analysis
Christopher Costello
Bruce Kendall
Annette Killmer
Course Objectives
Directed at MESM students in Bren School
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Introduce commonly used statistical tools –
conditions for use
Teach how to frame environmentallymotivated question into testable hypothesis
and how to use tools to answer
Interpret results of analysis to provide
insight into environmental problems
Resources
 Text:
Manly. 2001. Statistics for
Environmental Science and
Management. Chapman and Hall.
 S-Plus statistics package (installed in
SCF)
Course Format
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Lectures
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3 per week
Expected to attend all lectures
Lecture material applied and motivated with real
environmental problem
Labs
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1 per week. T.A. Annette Killmer. In SCF.
Bring questions – don’t expect to complete
homework in Lab sessions.
Grading
 Problem
 5-6
during quarter (7-10 days each).
 Midterm
 Take
 Final
 If
Sets (40%)
(25%)
home. Own work!
or Paper (35%)
you choose a term paper
3 stages (proposal, progress, final paper)
 Can opt to take final to boost midterm grade
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Topic Syllabus
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First Half of Course: Basic Statistics
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What is statistics?
Sampling, probability, distributions
Regression, ANOVA
Drawing Conclusions from data
Second Half: Special Topics
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Monitoring, Impact Assessment
Time Series, Spatial Stats
Risk and Uncertainty
Expectations
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Of You
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Participate in class/lab
Do readings
Submit assignments on time (no late assignments
will be graded)
Do your own work
Of Ourselves
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Keep it interesting
Introduce techniques with real-world examples
Make ourselves accessible
Make lecture notes available