February 2020
Movement ecology (MOVE03)
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 »May 2020
Fuzzy logic to address gradual patterns in species distribution and diversity (FLDD01)
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 »June 2020
Landscape genetic data analysis using R (LNDG04)
Course Overview: The term ‘landscape genetics’ has been applied studies that integrate ecological context and intervening landscape into population genetic analyses of contemporary processes such as gene flow and migration. This course will cover the basics of both quantitative landscape ecology and population genetics, focusing on how we develop and evaluate spatial/genetic analyses using the R platform. Intended Audience This course is suitable for graduate students, postdoctoral researchers, and primary investigators interested in learning how to integrate landscape ecological and…
Find out more »Stable Isotope Mixing Models using SIBER, SIAR, MixSIAR (SIMM06)
Course overview: This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. This course will cover the concepts, technical background and use of stable isotope mixing models (SIMMs) with a particular focus on running them in R. Recently SIMMs have become a very popular tool for quantifying food webs and thus the diet of predators and prey in an ecosystem. Starting with only basic understanding…
Find out more »July 2020
Applied Bayesian modelling for ecologists and epidemiologists (ABME06)
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 »Species Distribution Modeling using R (SDMR02)
Course Overview: Coming soon... Intended Audience Coming soon... Venue - PR statistics head office, 53 Morrison Street, Glasgow, G5 8LB - Google map Availability - 20 places Duration – 5 days Contact hours – Approx. 42 hours ECT’s – Equal to 3 ECT’s Language - English Packages We offer COURSE ONLY and ‘ACCOMMODATION PACKAGES;• COURSE ONLY – Includes lunch and refreshments.• ACCOMMODATION PACKAGE (to be purchased in addition to the course only option) – Includes breakfast, lunch, refreshments and welcome dinner Monday evening. Self-catering…
Find out more »October 2020
Ecological niche modelling using R (ENMR04)
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)
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…
Find out more »
