Didier’s Research:
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)

Agent based modelling;
Land use/land cover change;
Payment for ecosystem services;
Bayesian Network;
System Dynamics

Working on decision modeling in emergency healthcare. We are trying to design and develop service machine for emergency medical services.As a part of that, we are developing agent based models for emergency medical services

disaster resilience, flooding, ecosystem services, coupled human natural systems, land use change, hydrology, remote sensing, complexity science