Mathematics of Planet Earth

The ever-increasing volume of data arising from improving techniques of remote sensing, geophysics and GIS makes the development of efficient techniques for data analysis and numerical modelling essential in the solution of geomorphological problems. Consistent estimation of uncertainties, simulation of spatial scenarios, and quantification of parameters in models of geomorphological processes are of growing concern to geomorphologists. Testing, calibration and validation of models against data are central to much recent work.

This session on Statistics in Geomorphology invites contributions applying original statistical methods or numerical modelling approaches in geomorphology. In relation to the ‘Mathematics for planet Earth 2013’ event (http://mpe.dimacs.rutgers.edu/), the Société Française De Statistiques is co-organising this session to facilitate exchanges between the statistical and geomorphological communities.

Contacts: i.s.evans@durham.ac.uk – delphine.grancher@cnrs-bellevue.fr