Event Details

Digital Earth, data and analytic challenges for earth systems

Digital Earth, data and analytic challenges for earth systems

This masterclass will introduce, through case studies and examples, some of the statistical and data analytic challenges that are becoming increasingly important (and common place) in environmental and ecological sciences. Common statistical features include dealing with spatio-temporal data, fusing multiple data streams, developing indicators and targets and handling uncertainty. All the examples will consider the impact of the data analytics, the challenges and satisfaction of working in a cross disciplinary way, and working with policy makers and regulators. There are 6 distinct themes planned and illustrations include air quality and health, water quality, and biodiversity.



Structure:

Wednesday 2 March 11:00-12:00

Part 1: What is a digital earth system, and what are the challenges?

Wednesday 2 March 15:00-16:00

Part 2: Realising a digital environment: The statistical components: Examples.

Thursday 3 March 09:00-10:00

Part 3: Working with many and different data streams - the statistical challenges: Earth observation, data fusion.

Thursday 3 March 14:00-15:00

Part 4: Trajectories, trends and non-stationarity.

Friday 4 March 10:00-12:00

Part 5: Putting together the environmental systems and making a difference.

Part 6: General discussion about examples and round up.