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This sub-theme has activity across the continuum of data capture through to information generation about our environment.

Our Informatics staff and PhD students are conducting research on:


Data Capture

We exploit Earth observation, focusing on remote sensing at a range of spatial and temporal scales using a multitude of data capture technology. UAS have been used to study lianas in tropical forest trees, while satellite sensors have been used to study land cover and its dynamics over large areas to address major science questions. Application areas are diverse, focusing especially on ecology, but range from studies of human slavery through to the effects of pollutants on the environment. We also contribute to defining best practices to using captured data.

Recent publications...

Computational Methods

Turning captured data into information requires methodological innovation and a major research strand within the Informatics sub-theme is the application of computational methods to support the modelling of physical systems and the development of quantitative techniques that can span the space between physical and socio-economic systems. To these ends, we are at the forefront of testing of novel 'intelligent' algorithms and machine learning methods (as well as human learning through citizen science) which we have applied to support biodiversity characterisation and hydrology and water resource modelling at catchment and global scales, as well as to support participatory decision-making in flood risk management practice.

Recent publications...


Geospatial visualisation is undertaken in a range of contexts including computer desktop, visually immersive lab environments, and via in-field mobile devices. Research within the Informatics sub-theme has explored the relative merits of a range of mobile, augmented and virtual technologies across many application domains including teaching environments, museums and visitor centres and in spatial decision support. Recent developments have explored the use of 3D printed landscape models augmented using novel projection rendering techniques to create engaging displays for community engagement, for example to communicate the spatial and temporal extent of flood inundation scenarios.

Recent publications...



School of Geography
Sir Clive Granger Building
University of Nottingham
University Park
Nottingham, NG7 2RD

+44 (0)115 951 5559