INTRODUCTION TO DATA ANALYSIS
Mon 2 Nov, 08h30 until 12h00, R400 per delegate, limited to 30 delegates
Workshop Description
Data management and analysis are important components of conservation research and planning. R is used in many disciplines and has become one of the most common statistics platforms in ecology. This course will focus on managing data and preparing for analysis using R including data collection, cleaning, storage, inputting into R, transformations and different graphical techniques to visualise the data.
Content
Data collection, cleaning and manipulation. Data visualisation.
Requirements to Attend
No background knowledge of statistics or R is required. The practical component will be run using R and R-Commander. Delegates must have R and R-Commander loaded on their computers. The link for downloading R: https://cran.r-project.org/. R commander is downloaded by typing the following text into the R console (after R has been installed): install.packages("Rcmdr", dependencies = TRUE)
How to Attend
Login to Your Dashboard and click Register to Attend. Choose a ticket to the correct statistics workshop and pay via credit card or EFT.
INTRODUCTION TO HYPOTHESIS TESTING
Mon 2 Nov, 13h00 until 16h30, R400 per delegate, limited to 30 delegates
Workshop Description
Data analysis is an important component of conservation research and planning. R is used in many disciplines and has become one of the most common statistics platforms in ecology. Hypothesis testing is the basis of inferential statistics. This course will focus on the introduction of statistical distributions, estimation and hypothesis testing and their application to ecological problems using R.
Content
Statistical distribution, simulation, estimation, basic hypothesis testing using parametric and non-parametric techniques.
Requirements to Attend
No background knowledge of statistics or R is required. The practical component will be run using R and R-Commander. Delegates must have R and R-Commander loaded on their computers. The link for downloading R: https://cran.r-project.org/. R commander is downloaded by typing the following text into the R console (after R has been installed): install.packages("Rcmdr", dependencies = TRUE)
How to Attend
Login to Your Dashboard and click Register to Attend. Choose a ticket to the correct statistics workshop and pay via credit card or EFT.
STATISTICAL MODELLING USING R
Fri 6 Nov, 08h30 until 12h00, R400 per delegate, limited to 30 delegates
Workshop Description
Statistical modelling is a key aspect of conservation research and planning. R is used in many disciplines and has become one of the most common statistics platforms in ecology. This course will focus on using R for the analysis of ecological problems using general linear models. Regression models are a commonly used technique for modelling biological data. An understanding of these techniques is required for the course, and it will focus on the use of R to run the analyses.
Content
Linear models, generalised linear models including logistic and Poisson regression, log-linear model and generalised additive models.
Requirements to Attend
A background knowledge of statistics is required. The practical component will be run using R and R-Commander. Delegates must have R and R-Commander loaded on their computers. The link for downloading R: https://cran.r-project.org/. R commander is downloaded by typing the following text into the R console (after R has been installed): install.packages("Rcmdr", dependencies = TRUE)
How to Attend
Login to Your Dashboard and click Register to Attend. Choose a ticket to the correct statistics workshop and pay via credit card or EFT.
ANIMAL MOVEMENT MODELLING USING R
Fri 6 Nov, 13h00 until 16h30, R400 per delegate, limited to 30 delegates
Workshop Description
GPS tracking of animals has become a commonly used method in conservation research in order to understand space utilization and behaviour of the tracked animal. Large datasets are being collected with GPS locations of the animal, with shorter periods between successive locations. R is used in many disciplines and has become one of the most common statistics platforms in ecology. This course will focus on using R for the analysis of GPS tracking data. Hidden Markov models are used to identify the behavioural patterns of the tracked individual while home range analysis investigates the areas utilized by the animals. A number or R packages have been developed which allow researchers to utilise these techniques. This course will focus on the use of the moveHMM and adehabitatHR packages in R.
Content
Hidden Markov Models, Home range analysis, Minimum Convex Polygon, Local Convex Hulls.
Requirements to Attend
A background knowledge of statistics is required and familiarity with R and GPS tracking data would be advantageous. The practical component will be run using R and R-Studio. Delegates must have R and R-Studio loaded on their computers. The link for downloading R: https://cran.r-project.org/. R commander is downloaded by typing the following text into the R console (after R has been installed): install.packages("Rcmdr", dependencies = TRUE)
How to Attend
Login to Your Dashboard and click Register to Attend. Choose a ticket to the correct statistics workshop and pay via credit card or EFT.
