• DocumentCode
    3031042
  • Title

    Formalizing geographical models using specification and description language: The wildfire example

  • Author

    Fonseca i Casas, Pau ; Casanovas, Josep ; Figueras, Jaume ; Guasch, Antoni

  • Author_Institution
    InLab FIB, Univ. Politec. de Catalunya, Barcelona, Spain
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1961
  • Lastpage
    1972
  • Abstract
    In this paper we explore how we can use Specification and Description Language, to represent simulation models that make an intensive use of geographical information, like environmental simulation models. The purpose is to perform a complete unambiguous, graphical and formal representation of a wildfire simulation model. Specification and Description Language is a modern object oriented language that allows the definition of distributed systems. It has focused on the modeling of reactive, state/event driven systems, and has been standardized by the International Telecommunications Union (ITU) in the Z.100. Thanks to the graphical representation of the simulation model, the interaction between the experts that usually come from different areas is simplified. Also, due to the unambiguous and modular nature of the language, all the details of the model can be validated by personnel that do not necessarily are used with programming languages or simulation infrastructures.
  • Keywords
    formal specification; geographic information systems; object-oriented languages; ITU; description language; distributed systems; environmental simulation models; formal representation; formalizing geographical models; geographical information; graphical representation; international telecommunications union; object oriented language; specification language; unambiguous representation; Abstracts; Automata; Data models; Object oriented modeling; Personnel; Servers; Telecommunications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721575
  • Filename
    6721575