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Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02) FREE ACCOMMODATION AVAILABLE
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse community ecology data. The course will review data processing techniques relevant to multivariate data sets. We will cover diversity and null-model analysis, distance measures and distance based multivariate methods, clustering, classification, and dimension reduction techniques using the vegan R extension package. We will use real world data sets to motivate the analyses, e.g. describing patterns along environmental or anthropogenic disturbance gradients,…
Find out more »Behavioural data analysis using maximum likelihood in R (BDML02)
Course Overview: This 5-day course will involve a combination of lectures and practical sessions. Students will learn to build and fit custom models for analysing behavioural data using maximum likelihood techniques in R. This flexible approach allows a researcher to a) use a statistical model that directly represents their hypothesis, in cases where standard models are not appropriate and b) better understand how standard statistical models (e.g. GLMs) are fitted, many of which are fitted by maximum likelihood. Students will…
Find out more »Applied Bayesian modelling for ecologists and epidemiologists (ABME05) FREE ACCOMMODATION AVAILABLE
Course Overview: This application-driven course will provide a founding in the basic theory & practice of Bayesian statistics, with a focus on MCMC modeling for ecological & epidemiological problems. Starting from a refresher on probability & likelihood, the course will take students all the way to cutting-edge applications such as state-space population modelling & spatial point-process modelling. By the end of the week, you should have a basic understanding of how common MCMC samplers work and how to program them,…
Find out more »Geostatistics – Handling Spatial and Spatial-temporal data Using R (GSFE01)
Course Overview: This 5-day course will cover the concepts, methods, and R tools that can be used to analyse spatial and spatiotemporal data through Geostatistic. The course will review data processing techniques relevant to spatial and spatiotemporal data sets. Following, we will cover spatial interpolation methods such as inverse distance weighted interpolation as well as simple, ordinary and universal kriging, sequential Gaussian (co)simulation and sequential indicator (co)simulation. Through these different interpolation methods, we will learn about the different types of…
Find out more »R 4 ALL (Andrew Beckerman & Dylan Childs) (R4LL01) FREE ACCOMMODATION AVAILABLE
Course Overview This course provides training in the R statistical and programming language for data management, visualisation, and analysis. The R4All team, with more than 20 years experience delivering this course, will boost you up the initial learning curve, streamline your data management and analysis workflows, and give you scalable solutions. You will develop and take away robust and repeatable workflows for visualisation and statistical analyses, ranging from t-tests and ANOVA to generalised linear models and mixed effects models. Intended…
Find out more »Introduction to spatial analysis of ecological data using R (ISPE02) FREE ACCOMMODATION AVAILABLE
Course overview: The aim of the course is to introduce you to a spatial data processing, analysis, and visualization capabilities of the R programming language. It will teach a range of techniques using a mixture of lectures, computer exercises and case studies. By the end of the course participants should: Understand the basic concepts of spatial data analysis Know R’s spatial capabilities Understand how to import a range of spatial data sources into R Be confident with using R’s command-line…
Find out more »Movement ecology (MOVE03) FREE ACCOMMODATION AVAILABLE
Course Overview: The course will cover the concepts, technology and software tools that can be used to analyse movement data (from ringing/CMR to VHF/GPS to novel biologging data) in ecology and evolution, covering analysis techniques applicable broadly to most taxa, from micro-organisms to plants and animals. We will cover elementary and advanced analysis and modelling techniques broadly applicable across taxa, highlighting the advantages of a unified Movement Ecology framework. We will provide the necessary bases in ecology (especially behavioural ecology),…
Find out more »Population genetics inference with ‘Migrate’ (PGMG01) FREE ACCOMMODATION AVAILABLE
Course Overview: This 5-day course will cover population genetics data analysis using the software <i>Migrate</i>. Students will learn to operate the software to infer gene flow and population divergence model using sequence data and microsatellite marker data and compare and choose among different population genetics models. The course has two major components: a theoretical and a hands-on component where participants will use the software on their own computers. In the theoretical section, we will review coalescence theory and discuss concepts…
Find out more »Fuzzy logic to address gradual patterns in species distribution and diversity (FLDD01) FREE ACCOMMODATION AVAILABLE
Course Overview: Live beings are constantly in motion and occur with varying frequency across space. Hence, categorical occurrence maps are always incomplete and oversimplified representations of species’ actual distributions. Analyses that build on such categorical data, such as most diversity, overlap and (dis)similarity indices, overlook important gradations in species occurrence. Fuzzy logic is a valuable tool to formally address the locational uncertainty and gradual variations that characterize biodiversity patterns. This course will show how fuzzy logic can be incorporated in…
Find out more »Structural Equation Modelling for Ecologists and Evolutionary Biologists (SEMR03) FREE ACCOMMODATION AVAILABLE
Course Overview: The course is a primer on structural equation modelling (SEM) and confirmatory path analysis, with an emphasis on practical skills and applications to real-world data. Structural equation modelling is a rapidly growing technique in ecology and evolution that unites multiple hypotheses in a single causal network. It provides an intuitive graphical representation of relationships among variables, underpinned by well-described mathematical estimation procedures. Several advances in SEM over the past few years have expanded its utility for typical ecological…
Find out more »Ecological niche modelling using R (ENMR04) FREE ACCOMMODATION AVAILABLE
Course Overview: The course will cover the base theory of ecological niche modelling and its main methodologies. By the end of this 5-day practical course, attendees will have the capacity to perform ecological niche models and understand their results, as well as to choose and apply the correct methodology depending on the aim of their type of study and data. Ecological niche, species distribution, habitat distribution, or climatic envelope models are different names for similar mechanistic or correlative models, empirical…
Find out more »Advanced Ecological Niche Modelling Using R (ANMR01) FREE ACCOMMODATION AVAILABLE
Course Overview: Ecological niche, species distribution, habitat distribution, or climatic envelope models are different names for mechanistic and correlative models, which are empirical or mathematical approaches to the ecological niche of a species. These methods relate different types of ecogeographical variables (environmental, topographical, human) to species physiological data or geographical locations, in order to identify the factors limiting and defining the species' niche. ENMs have become popular because of their efficiency in the design and implementation of conservation management. Have…
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