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Centre for Statistics in Ecology, the Environment
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ISEC2022
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STA2007/STA5014
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Stats Toolbox
--Experimental and survey design
--Classification and regression trees
--Generalised Linear Mixed Models
--Generalised additive models (GAMs)
--Data exploration
--Analyses Toolboxes
----Introduction to multivariate analyses
----Hidden Markov Models for time series
----Bayesian analysis
----Time series analysis
----Meta-analysis
----Model-based Multivariate Analyses
--R packages and R related Toolboxes
----R Tidyverse
----ggplot2 - the grammar of graphics
----Cloud computing with R
----R Markdown
----Reproducible R
--Spatial and Species Distribution Toolboxes
----Species Distribution Modelling
----SDMs - using spatial information to supplement biased occurrence data
----Occupancy models
----Distance sampling
----Handling Spatial Data
----Spatial capture-recapture (SCR) modelling
----Animal movement modelling with moveHMM
----Time-to-detection occupancy models
----Spatial occupancy models
----Single-season occupancy models using a Bayesian approach
----Spatial Interpolation
----Dynamic occupancy models
----Basics of point pattern analysis
----Estimating survival from CMR data
Calendar
Contact us
Home
People
Core Team
Students
Alumni
Partners, affiliates and collaborators
Projects
Workshops
ISEC2022
Publications
2017 Publications
2016 Publications
SEEC annual reports
2019
2018
2017
2016
2015
2014
News
Current News
Archive News
STA2007/STA5014
Resources
Stats Toolbox
Experimental and survey design
Classification and regression trees
Generalised Linear Mixed Models
Generalised additive models (GAMs)
Data exploration
Analyses Toolboxes
Introduction to multivariate analyses
Hidden Markov Models for time series
Bayesian analysis
Time series analysis
Meta-analysis
Model-based Multivariate Analyses
R packages and R related Toolboxes
R Tidyverse
ggplot2 - the grammar of graphics
Cloud computing with R
R Markdown
Reproducible R
Spatial and Species Distribution Toolboxes
Species Distribution Modelling
SDMs - using spatial information to supplement biased occurrence data
Occupancy models
Distance sampling
Handling Spatial Data
Spatial capture-recapture (SCR) modelling
Animal movement modelling with moveHMM
Time-to-detection occupancy models
Spatial occupancy models
Single-season occupancy models using a Bayesian approach
Spatial Interpolation
Dynamic occupancy models
Basics of point pattern analysis
Estimating survival from CMR data
Calendar
Contact us
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SEEC annual reports
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2016 annual report
Read SEEC's 2016 annual report
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