stat 662: question environmental statistics environmental
TRANSCRIPT
Stat 662 Lecture Notes -- Tues., 3/28/06
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Stat 662:
Environmental Statistics
Spring Quarter 2006
Instructor: Dr. Kate Calder
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Introduction
QUESTION
What is environmental statistics?
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Introduction
• Variability is inherent to environmental processes at every scale.
• Scientific Method => Experimental Design
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• Typically, this framework is not applicable in environmental
studies.
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Introduction
ENVIROMENTAL STUDIES
• Usually, a randomized controlled experiment cannot be
performed.
• Observations are often temporally and/or spatially dependent.
• Variability in environmental processes can be related to
exogenous factors, which often cannot be controlled.
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Introduction
ENVIROMENTAL STUDES -- KEY STATISTICAL THEMES
1. Monitoring
2. Determining cause-effect relationships
3. Forecasting
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Monitoring
EXAMPLE – Concentration of As in Drinking Water
Stat 662 Lecture Notes -- Tues., 3/28/06
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Monitoring
EXAMPLE – Global Warming
(From Washington Post, Oct. 13, 2005)
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Monitoring
Ice Core Paleoclimatology – Byrd Polar Research Center at OSU
(From http://www-bprc.mps.ohio-state.edu/)
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Monitoring
(From http://www-bprc.mps.ohio-state.edu/) 10
Monitoring
(From http://www-bprc.mps.ohio-state.edu/)
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Monitoring
(From http://www-bprc.mps.ohio-state.edu/)
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Monitoring
(From http://www-bprc.mps.ohio-state.edu/)
Stat 662 Lecture Notes -- Tues., 3/28/06
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Monitoring
EXAMPLE – Remote Sensing
(From http://www.stat.ohio-state.edu/~sses/ -- Image courtesy of S. Suzuki and E. De
Jong, Solar System Visualization Project, NASA, JPL/Caltech. JPL Image # P-49081)
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Cause/Effect Relationships
EXAMPLE – Toxic Areas/Breast Cancer
(From the Huntington, Long Island Breast Cancer Action Coalition Survey --
http://www.hbcac.org/mapping.html)
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Forecasting
EXAMPLE – Sea Level Rise
QUESTION
How will the melting of Antarctic sea ice impact the coastlines of Florida?
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Forecasting
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Forecasting
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Forecasting
Stat 662 Lecture Notes -- Tues., 3/28/06
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Forecasting
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Course Topics
• Sampling Environmental Processes
• Modeling Environmental Processes
– Regression Models
– Toxicological Models
– Risk Analysis
– Time Series Analysis
– Spatial Statistics
Focus will be on applications and case studies.
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Course Overview
• Website
http://www.stat.ohio-state.edu/~calder/stat662/
• Required Text
Environmental Statistics, Methods and Applications (2004)
By Vic Barnett
• Homework Assignments – posted on course website
• Midterm Exam – Thursday, May 4th
• Project – detailed description will be handed out in class and
posted on the course website
• Computing – next class
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Schedule
Thursday, March 30th – regular class
Tuesday, April 4th – NO CLASS, instead you must* attend
MBI Workshop 5 – Uncertainty in Ecological Analysis
--and--
Department of Statistics Seminar
Emerging Capacity to Synthesize Data and Process: Application to the Biodiversity Paradox
James S. Clark, H.L. Blomquist Professor of Biology, Duke University
3:30PM Tuesday, April 4, 2006, Room 170 East Eighteenth Avenue Bldg. (EA 170)
Thursday, April 6th – Guest Instructor: Ms. Jessica Kohlschmidt
Tuesday, April 11th – Guest Instructor: Ms. Hongfei Li
Thursday, April 13th – regular class
* Please let me know as soon as possible if you will be unable to attend this lecture.
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Notecards
• Name
• Preferred e-mail address
• Department
• Research area (if known)
• Previous experience with R?
• Have you taken the following courses or equivalent courses?1. Applied Regression Analysis (Stat 645)
2. Survey Sampling Methods (Stat 651)
3. Statistical Analysis of Time Series (Stat 635)
4. Generalized Linear Models (Stat 743)
5. Spatial Statistics (Stat 829)
• Reason for taking this course
• Anything else you would like me to know