16
Hidden Markov and State-Space Modeling
Techniques and Concepts in Movement Ecology
Preface
1
Introduction(s)
I. Foundations
2
Kinds of movements, and kinds of questions
3
Why do we need special statistics?
II. Basic Manipulations
4
Complex Numbers are Simple
5
Spatial data in R
6
Movement data in R
7
Visualization
III. Statistical foundations
8
Likelihood Theory
9
Time Series
10
Mixed models (with autocorrelation!)
11
Spatial correlations
IV. Models of movement
12
Discrete time movement models
13
Continuous time movement models
14
Home ranges
15
Behavioral Changes
16
Hidden Markov and State-Space Modeling
V. Resource and Step-Selection
17
Resource Selection
18
Step Selection Functions
Table of contents
16.1
What are SSM’s and HMM’s?
16.2
Implementation with STAN
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16
Hidden Markov and State-Space Modeling
16.1
What are SSM’s and HMM’s?
16.2
Implementation with STAN
15
Behavioral Changes
17
Resource Selection