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Introduction
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Classroom Contents
Data Science Applications - Environment/Ecology
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- 1 Introduction
- 2 Data collection
- 3 Spatial data
- 4 Spatio temporal data
- 5 Individual level data
- 6 Data analysis
- 7 Example 1: Ring-recovery data
- 8 Example 1: Assumptions
- 9 Example 1: Model parameters
- 10 Example 1: Statistical model
- 11 Example 2: Assumptions
- 12 Example 2: Statistical model
- 13 Decisions in constructing models
- 14 Discussion-building models for capture-recapture data
- 15 Discussion-building models for telemetry data
- 16 Classical approach
- 17 Bayesian approach
- 18 Bayesian parameter estimation
- 19 MCMC single update overview
- 20 Statistical analysis
- 21 Issue 1: Model choice
- 22 Issue 1: Classical model choice
- 23 Issue 1: Bayesian model choice
- 24 Example: Model choice
- 25 Statistical approaches
- 26 Example 1: Capture-recapture data - Bayesian analysis
- 27 Example 2: Count data - Bayesian analysis output
