Using Bayesian statistics for improving Agent based models and visa versa.
I use agent-based systems, stochastic process, mass balance models and computational statistics in exploring human exposure assessment.
are related to interoperability and conflation models in geospatial analysis and integrated modelling applications, particularly in the context of spatial data infrastructures such as GEOSS. This translates to a focus on geospatial statistics, geospatial patterns, outbreak detection and geospatial data mining in general, but also to data quality and uncertainty propagation principles in relation to geoworkflows connected to/using web services. Didier’s research centres on environmental agro-ecological geospatial models, and public health and spatial epidemiology applications. (see website)
social acceptability and fuel treatments
PhD student, ecology and evolutionary biology
Ecological theory and modeling