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Chaos Theory as a Multipurpose Approach to Challenge Forecasting of Semi-Arid and Intertropical Dynamical Systems
Application of the global modelling technique to eco-epidemiology, hydro-climatology, ecology

Institut de Recherche pour le Développement

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CSS5-IRD :  MANGIAROTTI, Sylvain / Chaos Theory as a Multipurpose Approach to Challenge Forecasting of Semi-Arid and Intertropical Dynamical Systems Competencies of  MANGIAROTTI, Sylvain , HDR scientist
UMR CESBIO   Center for the Study of the Biosphere from Space

citations IRD   citations ResearchGate   Personal home page   software GPoM   UMR CESBIO   web-link ATOMOSYD   _get in touch  
The current research is entitled "Extension of the field of chaos theory application to a broader range of situations in the South"

- ATOMOSYD:  research group on Topological Analysis and Modeling of Dynamic Systems
- GPoM:  R Platform dedicated to the Global Modelling technique. Its aim is to obtain ordinary differential equations 
  of polynomial form directly from time series. 
Below: competencies in black when any are unique to S. Mangiarotti's profile in the current state of the database

algorithmicsapplied chaosarid or semi-arid zonecereal cropclassification - typologyClimatology (hydro)complex systemdata analysisdata poor contextdeterministic approachdifferential equationdynamical systemglobal modelling (mathematics)inter-tropical (region)landcovermathematics (applied)model (mathematical)model (numerical)model (operational)MODELLINGmodelling (chaos)modelling (complex system)modelling (epidemics)modelling (mathematical)modelling (predictive)MULTIDISCIPLINARYnon linear dynamicsopen sourceoperational researchR programmingremote sensing /  retromodelling /  SDG 03 (Sust. Devel. Goal - Health and well-being)SDG 04 (Sust. Devel. Goal - Education)SDG 15 (Sust. Devel. Goal - Terrestrial ecosystems)time seriestopology (mathematics)training (fr: formation)UMR CESBIO (Center for the Study of the Biosphere from Space) /  variable coupling detection /

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Last update : 2022-06-27  (id: 64 )

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