Monday 9^{th}

Introductory concepts

Fitting detection by eye

See instructions

Tuesday 10^{th}

Detection functions and estimation formulations

Analysis of duck nest data

Prac2 RStudio

Wednesday 11^{th}

Assumptions

Assessing model fit; Multiple line transect detection function models

Prac3 RStudio

Thursday 12^{th}

Estimating precision (special case systematic designs)

Estimating precision under difficult circumstances (introduction to bootstrap)

Prac4 RStudio

Friday 13^{th}

Point transects

Importance of model choice with points; Buckland (2006) data sets

Prac5 RStudio

Monday 16^{th}

Survey design

Designing a) aerial marine survey; b) terrestrial point transect survey

Prac6 RStudio

Tuesday 17^{th}

Stratification to improve precision

Model selection to determine necessity of stratification

Prac7 RStudio

Wednesday 18^{th}

Covariates in the detection function

Bias in group size estimates; effect of observer on detectability

Prac8 RStudio

Thursday 19^{th}

Indirect surveys; the use of multipliers

Analysing dung surveys; whale blow surveys; bird song surveys

Prac9 RStudio or modelling counts

Friday 20^{th}

Field methods–merging statistical practice with field protocols

Overview and summary; additional resources

No computer exercise
