Estimation of Change From Survey Data
Results And Summary Of A Workshop Held 11-12 March 2003 At The USGS Patuxent Wildlife Research Center, Laurel MD
Schedule and links to presentations and analyses are displayed in window at left of screen
- Left click on item to display it in center frame.
- Right click and select option to open item in new window
Trend Workshop General Introduction
Goal of Workshop
- Provide advice about reasonable approaches to estimation of change from NPS monitoring data
- Provide examples of these approaches, applied (when possible) to NPS data
- Encapsulate advice/examples in accessible formats
Open Discussion On a Variety Of Issues
- Address range of reasonable approaches
- Discuss advantages/disadvantages of each
- Particular focus on population surveys
- Most of first day
- Critical component
- Identify approaches not covered
Any Analysis of Monitoring Data Should be Defined Before Any Data are Collected!
- Most of the discussion and controversy about monitoring data is a direct consequence of a failure to clearly define goals of monitoring
- Most data collected without direct connection to uses of data are unlikely to be particularly useful for any goal!
- Painfully obvious in examples
Why Have This Discussion?
- Goals (and hence analysis) not clearly defined before monitoring developed
- For some reason, original design not complete, or complicated by factors arising during analysis
- New methods developed to allow more efficient analysis of data
Points to Consider
- Broader issues
- Limitations of present designs
- Scope of Inference
- Detectability
- Focusing of goals
- Planning future activities
- Direct analysis advice and issues
- Getting the most information from existing data
Many Other Topics Could Be Addressed
- Extreme value identification
- Estimation of abundance from replicate counts
- Direct estimation of λ
Issues To Address In Analysis
- Variance components
- Scale of aggregation
- Repeated measures
- Simplicity vs complexity
- Simple description
- Hypothesis tests
- Covariate analysis
- Connection to management/science