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Outline schedule for SECR workshop
  Kuala Lumpur, 7–11 March 2011

Day 1

  • Introductions & housekeeping
  • An introduction to animal populations
  • Sampling methods
  • Problems when sampling mobile and cryptic animals
  • Spatially explicit data
  • Practical exercise: generating data with the “SECD game”
  • Statistical concepts 1
  • Overview of software (CAPTURE, MARK, RMark, Presence, Density, secr, SPACECAP, unmarked)

Day 2

  • Introduction to program Density
  • Spatially explicit capture–recapture theory
  • Using Density to fit an SECR model
  • Statistical concepts 2
  • Introduction to R

Day 3

  • Package ‘secr’
  • Model specification
  • Habitat masks
  • Checks on model suitability
  • Simulating spatial data

Day 4

  • Multi-session models
  • Bayesian approaches to SECR
  • Study design
  • Unusual data types

Day 5

  • More on study design
  • Exploring own datasets
  • Other topics by request
 

Page updated 10 Feb 2011 by Mike Meredith