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Introduction to spatial analysis of ecological data using R (ISPE01)
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 »Phytomappers Pro,: A Master Class for Mapping Plants With Drones
Course Overview: Phytomappers Pro was created to scale drone education for agricultural and other related verticals, such as scientific, forestry, and environmental consultancies. This course walks step-by-step through everything you'd need to know to get started mapping plants professionally, including: • The theory behind vegetation indices, such as NDVI • Best-practices for image capture • Drone and camera hardware • Mission planning software • Image processing and data outputs using Pix4D • Cloud tools • Example datasets We teach you…
Find out more »A Quickstart Guide to Plants and Drones for Professionals
Course Overview: The Quick-start Guide to Plants and Drones is a FREE course! The goal of this course is to bring students up to speed quickly on the commercial drone industry and specifically where plant mapping fits in. The class provides a general overview of where the drone industry has been and where it is headed next, specifically as it relates to plant-related industries, including agriculture, forestry, scientific, and more. This course assumes you are a professional (or want to…
Find out more »Applied methods for analysing capture-recapture (mark-recapture) data using spatially explicit and non-spatial techniques (MARK01)
Course overview: Population demographic parameters (such as survival) and density of a target species are fundamental pieces of information highly desired by ecologists. This course will cover both capture-recapture analyses (CMR) analyses required to obtain estimates of demographic parameters and spatial capture-recapture analyses (SCR) required to obtain spatially-robust estimates of density. We will cover introductory concepts of both analytical approaches using hands-on demonstrations in class. Course content for both CMR and SCR will include data collection and survey design, data…
Find out more »Generalised Linear (GLM), Nonlinear (NLGLM) And General Additive Models (GAM) (GNAM01)
Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…
Find out more »R Package design and development and reproducible data science for biologists (RPKG01)
Course overview: This course will help students develop professional R coding skills by leading them through the process of making reproducible, sharable and easily communicated software centered around developing fully functional R packages and extensions. In addition to teaching traditional uses of R packages to share quantitative tools, we’ll also show how R packages can be easily developed for individual research projects to share reproducible results. To develop skills, we’ll build several R packages full of useful and general utility…
Find out more »Structural Equation Modelling and Path Analysis (SMPA01)
Course Overview: To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/structural-equation-modelling-and-path-analysis-smpa01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view I’ve got…
Find out more »Data Science/Analytics using Python (DSAP01)
Course Overview: Coming soon... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/data-science-analytics-using-python-dsap01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…
Find out more »Conservation planning using PRIORITIZR : from theory to practice (PRTZ01)
Course Overview: This 5-day workshop will introduce the development and application of Marxan type spatial planning tools to prioritize land acquisition, easements and incentives in favor of conservation. We are going to use the prioritizr framework (https://prioritizr.github.io/prioritizr/) and an example developed for the Coastal Douglas Fir Conservation Partnership (CDFCP) region by the group of Peter Arcese at UBC (http://arcese.forestry.ubc.ca/marxan-tool-cdfcp/) The reserve design problem will be introduced using examples from the BC Central Coast, Georgia Basin-Willamette Valley of BC, WA and…
Find out more »Geometric morphometrics using (Geomorph) R (GMMR02)
Course overview: The field of geometric morphometrics (GM) is concerned with the quantification and analysis of patterns of shape variation, and its covariation with other variables. Over the past several decades these approaches have become a mainstay in the field of ecology, evolutionary biology, and anthropology, and a panoply of analytical tools for addressing specific biological hypotheses concerning shape have been developed. The goal of this is to provide participants with a working knowledge of the theory of geometric morphometrics,…
Find out more »Introduction to Behavioural data analysis using R (IBDA01)
Course Overview: Coming soon... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/introduction-to-behavioural-data-analysis-using-r-ibda01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…
Find out more »Multivariate analysis of ecological communities in R with the VEGAN package (VGNR02)
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 »Generalised Linear (GLM), Nonlinear (NLGLM) And General Additive Models (GAM) (GNAM01)
Course Overview: To follow... To find out more or to book online via our sister company (PS statistics) use the link below… https://www.psstatistics.com/course/generalised-linear-glm-nonlinear-nlglm-and-general-additive-models-gam-gnam01/ “This was by far the most useful statistic-related course I’ve done to date and I enjoyed all aspects of the course. The course was useful because it put into prospective the ecology aspect within the statistics. All parameters were explained in an ecological manner which made the math aspect much clearer. It helped to change the view…
Find out more »Applied Bayesian modelling for ecologists and epidemiologists (ABME05)
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 »Introduction to structured population models and demographic distribution models (IIPM01)
Course Overview Structured population models have become a central tool to explore evolutionary and ecological processes, such as selection gradients or responses to climate change, based on field demographic data. With recent advances in theoretical ecology and computing power, these models have further evolved. Over the last decade, Integral Projection Models (IPMs), a generalization of Matrix Populations Models, have gained popularity because of their simplicity, robustness, and flexibility. This course will draw on the connections between these approaches to help…
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 »Advanced Range, Niche, and Distribution Modeling (ASDM01)
Course Overview Range modeling, also known as niche, distribution, or habitat use modeling, is among the most widely used tools in ecology. Its popularity is evidenced by the wide range of conceptual and statistical approaches that have been developed over the last two decades for quantifying ranges. We will spend much of our time on the most popular approach to range modeling - presence-only models - however we will draw connections to other data types and general principles for any…
Find out more »Population genetics inference with ‘Migrate’ (PGMG01)
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)
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)
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)
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…
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