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Design of a Domain Specific Language for modelling processes in landscapes

Author

Listed:
  • Degenne, P.
  • Lo Seen, D.
  • Parigot, D.
  • Forax, R.
  • Tran, A.
  • Ait Lahcen, A.
  • Curé, O.
  • Jeansoulin, R.

Abstract

The modelling of processes that occur in landscapes is often confronted to issues related to the representation of space and the difficulty of properly handling time and multiple scales. In order to investigate these issues, a flexible modelling environment is required. We propose to develop such a tool based on a Domain Specific Language (DSL) that capitalises on the service-oriented architecture (SOA) paradigm. The modelling framework around the DSL is composed of a model building environment, a code generator and compiler, and a program execution platform. The DSL introduces five language elements (entity, service, relation, scenario and datafacer) that can be combined to offer a wide range of possibilities for modelling in space and time at different scales. When developing a model, model parts are either built using the DSL or taken from libraries of previously built ones, and adapted to the specific model. The practical usage of the DSL is illustrated first with the Lotka–Volterra model, and then with a landscape modelling experiment on the spread of a mosquito-borne disease in the Sahelian region of West Africa. An interesting characteristic of this approach is the possibility of adding new elements into an existing model, and replacing others with more appropriate ones, thus allowing potentially complex models to be built from simpler parts.

Suggested Citation

  • Degenne, P. & Lo Seen, D. & Parigot, D. & Forax, R. & Tran, A. & Ait Lahcen, A. & Curé, O. & Jeansoulin, R., 2009. "Design of a Domain Specific Language for modelling processes in landscapes," Ecological Modelling, Elsevier, vol. 220(24), pages 3527-3535.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:24:p:3527-3535
    DOI: 10.1016/j.ecolmodel.2009.06.018
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    References listed on IDEAS

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    1. Daniel G. Brown & Rick Riolo & Derek T. Robinson & Michael North & William Rand, 2005. "Spatial process and data models: Toward integration of agent-based models and GIS," Journal of Geographical Systems, Springer, vol. 7(1), pages 25-47, October.
    2. Linard, Catherine & Ponçon, Nicolas & Fontenille, Didier & Lambin, Eric F., 2009. "A multi-agent simulation to assess the risk of malaria re-emergence in southern France," Ecological Modelling, Elsevier, vol. 220(2), pages 160-174.
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    1. Luís de Sousa & Alberto Rodrigues da Silva, 2015. "Showcasing a Domain Specific Language for Spatial Simulation Scenarios with case studies," ERSA conference papers ersa15p1044, European Regional Science Association.
    2. Jahel, Camille & Baron, Christian & Vall, Eric & Karambiri, Medina & Castets, Mathieu & Coulibaly, Kalifa & Bégué, Agnès & Lo Seen, Danny, 2017. "Spatial modelling of agro-ecosystem dynamics across scales: A case in the cotton region of West-Burkina Faso," Agricultural Systems, Elsevier, vol. 157(C), pages 303-315.
    3. Díez-Echavarría, Luisa Diana & Ríos-Echeverri,Carolina, 2021. "Dinámica de participación en esquemas de pago por servicios ambientales urbanos: análisis de la intención," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 21(1), June.

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