Current approaches to cutting-edge research in the environmental sciences are highly dependent on digital data, and a wide variety of different data types can now be accessed relatively easily. You only need to consider the data required to understand climate change to appreciate the diversity of information that is currently available, and which is needed to address the biggest global issues.
In this module you will learn the fundamentals of retrieving, annotating, analysing and interpreting digital data from a variety of sources, applying integrated, scientific methodologies. You will develop data manipulation skills and an awareness of the tools available to maximise the value of heterogeneous digital data. We demonstrate everyday problems in data collection, both avoidable and unavoidable, and explore techniques that minimise their impact. We discuss the strengths and weaknesses of current software for data mining and visualisation, and you will get hands-on experience of data integration using spreadsheet, database and GIS technologies.