Joint IODE - POGO Courses

Sustained ocean observations are essential for understanding links between physical and chemical drivers and ecosystem responses and for investigations into how long-term changes in the underlying drivers might impact on ecosystem dynamics and the services these provide. However, the management of time series is complex and many issues from scientific to financial and scoietal, need to be taken into account for time series to be sustainable in the long-term. Therefore, while many time series courses have a focus on statistical techniques needed to analyse time series,  in this course we take a holistic approach. We will introduce you to different types of time series and will show you different tools for the visualisation and exploration of your time series data (both very important for detecting time series and for deciding on the correct statistical analyses). However, we will also discuss time series in the context of the ecosystem services context and policy drivers that can have an influence on how time series are run.

This course provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.

Aims and Objectives:

  • Recognize the importance of good research data management practice
  • Provide an introduction to the use of free software for synthesis of marine data and analyses
  • Creation and use of multi-parameter marine data collections to prepare and publish standard data products
  • Develop marine data and products from multiple sources using selected software programs

This course provides a comprehensive introduction to a wide variety of earth science datasets, formats and analysis software. Students will learn and practice methods using a common ocean area, and they are expected to create a personal project of data products for a marine region of their own choosing. Personal projects are presented by the students at the end of the course.

Aims and Objectives:

  • Provide an introduction to the use of free software for synthesis of marine data and analyses
  • Recognize the importance of good research data management practice;
  • Creation and use of multi-parameter marine data collections to prepare and publish standard data products
  • Develop marine data and products from multiple sources using selected software programs