Spatial Capture-Re​capture Workshops: Feb&April 2014

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Spatial Capture-Re​capture Workshops: Feb&April 2014

Postby jaroyle » Wed Dec 04, 2013 3:36 pm

Workshops on Spatial Capture-Recapture Modelling (2 dates): Feb 19-21, 2014, Patuxent Wildlife Research Center and Apr 2-4, Cornell University
Instructors: Andy Royle (Patuxent Wildlife Research Center), Rahel Sollmann and Beth Gardner (North Carolina State Univ.), and Chris Sutherland (Cornell Univ.).

1. 19–21 February 2014 (3 days), Patuxent Wildlife Research Center, Laurel/Maryland, USA
2. 02-04 April 2014 (3 days), Cornell University, Ithaca NY.

Computers: People must bring their own laptops with a recent version of R, WinBUGS and JAGS installed and functional

Costs: USD$450 (normal rate), USD$300 (grad student rate).

Note: An earlier announcement advertised a December 2013 date for this workshop. That date was cancelled due to a scheduling conflict.

This course introduces some key models used in the analysis of spatially-explicit capture-recapture data using Bayesian and classical (likelihood) methods. It closely follows material from the recently published book “Spatial Capture-Recapture” (Elsevier, 2013).

The workshop will cover basic model and data analysis concepts in R and the BUGS language (using WinBUGS or JAGS), analysis of classical capture-recapture models (models M0, Mb, Mh, etc..), concepts and methods of spatial capture-recapture models implemented in BUGS and using the R package “secr” written by Murray Efford.

This is an intermediate-level workshop with topical lectures followed by work sessions where we analyse data. Course requirements:
(1) Good working knowledge of modern regression methods (regression, ANOVA, generalised linear models, random effects).
(2) Experience with the R programming language at a level higher than “beginner”. You should be a regular R user. Manipulating data in R should be routine for you.
(3) Knowledge of basic capture-recapture concepts and methods. E.g., the Otis et al. monograph, distance sampling, program MARK, etc..
(4) You should have heard of WinBUGS or JAGS. We will spend most of the first day learning how to fit basic regression, GLM and ordinary closed population models in WinBUGS.

If you are interested in attending the workshop please submit your application no later than January 01, 2014, by filling out the following webform: ... c/viewform

Direct inquiries can be made to Andy Royle ( Workshop invitations will be sent out beginning January 01 until all seats are filled.

An approximation to the workshop content is as follows:

Day 1: Introductory material (R/WinBUGS and closed population models)

AM: Workshop introduction. Fitting basic statistical models (regression, GLMs) in WinBUGS/JAGS, from R, using the R2jags or R2WinBUGS packages.
PM: Introduction to ordinary capture-recapture models: Model M0, Mb, Mh, individual covariate models, distance sampling, etc.
Bayesian analysis of models in WinBUGS/JAGS using data augmentation.
The spatial context of capture-recapture: Heterogeneity, estimating density, what is the effective sample area? Buffering trap arrays.

Day 2: Introduction to Spatial Capture-Recapture

AM: General formulation of SCR models: basic models and their analysis in WinBUGS. Poisson and Bernoulli models for trapping arrays (camera traps, hair snares, etc..), multinomial encounter models, area-search models.
PM: Likelihood analysis concepts. Using the R package secr.

Day 3: Advanced SCR models

SCR for stratified populations (multi-session models in secr)
Models with density covariates
Modelling landscape connectivity
Space-usage and resource selection (SCR + telemetry data)
Open population models
Some design concepts
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