Courses open for registration

The aim of this course is to provide an introduction to R and R Studio. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. The course will be a combination of lectures and practicals.

Ecological modelling, based on field data, has become an indispensable tool in ecological research. This course presents a conceptual framework for ecological modelling: covering elementary growth models and probability distributions needed to mathematically model processes.

The aim of this course is to provide an introduction to R and R Studio. It introduces the participants to R language syntax, to enable them to write their own R code. They will also learn about R data-types and data-structures, and they will be taught how to explore the data and produce plots. The course will be a combination of lectures and practicals.

In this course, some of the concepts that underlie the optimization of spatial sampling will be introduced. These include methods to ensure good spatial coverage by a sample, methods to select an optimal grid spacing for geostatistical mapping and complex methods of combinatorial optimization. The course takes place in hotel "De Bosrand" in Ede and includes accommodation.

In this workshop, participants will learn the principle of tidy data, how to transform and combine datasets using the tools from the tidyverse and how to generate advanced visualization with the ggplot2 package. The course will be a combination of lectures and practicals.

This is a course on the soils of the world and their assessment. It will provide an introduction to the soils of the world and their diversity, their main forming factors, classification and management. The course will include lectures and hands-on exercises. It will make use of the facilities of the World Soil Museum.

This course introduces methods and software for management, analysis and mapping of soil type and soil properties within the R environment for statistical computing. The course alternates between lectures and computer exercises and covers a variety of subjects, such as geostatistics, machine learning for soil mapping, soil functional mapping, proximal soil sensing, quantification of uncertainty, sampling for mapping and soil map validation.

Modelling is a crucial part of today's science. Among other things, models are used for assessing sensitivity of systems to disturbances or changes in external factors, and for predictions of future system states. This course provides an introduction to modelling with a focus on systems analysis using dynamic simulation models.

In this third edition of the European Forestry course, organised under the flag of the Euro League for Life Sciences (ELLS), we aim to shed light on the current management strategies of European forests, and how to adjust these to become climate-smart. There is much variation in forest management across Europe, at least in part based on differences in ecology, economics, social perceptions, ethics and morality towards forests and the resources and services they provide. The idea of this course is to bring PhD candidates and postdocs from various countries and cultural backgrounds, and working in different scientific disciplines but related to European forests, together in a professional on-site training course. The course will be organised at the BOKU training centre “Traunkirchen” in Austria. This venue is perfect for this course, as it sits in a location that is surrounded by forests that are managed in a varied way, so as to provide excellent learning experiences for the participants. A travel subsidy is available for PE&RC PhD candidates.