Simulation of marine activities by coupling Geographical Information System and Agent Based Model: improvements and technical achievements

Independent Researcher in Open Source GIS and Agent Based Modelling, Perugia, Italy
Institut Universitaire Européen de la Mer, Centre national de la recherche scientifique, UMR 6554, LETG-Brest Géomer, Plouzane, France
Bureau d'enterprise Terramaris (Géomatique, Modélisation, Cartographie), Plouzane, France
DOI
10.7287/peerj.preprints.2231v2
Subject Areas
Agents and Multi-Agent Systems, Scientific Computing and Simulation, Spatial and Geographic Information Systems
Keywords
Marine simulation, GIS, ABM, Python
Copyright
© 2016 Minelli et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Minelli A, Tissot C, Rouan M, Le Tixerant M. 2016. Simulation of marine activities by coupling Geographical Information System and Agent Based Model: improvements and technical achievements. PeerJ Preprints 4:e2231v2

Abstract

This short paper presents an example of integration between open source Geographical Information System (GIS) and Agent Based Model (ABM) in order to better simulate fishing activities on Iroise Sea (Brittany, France). This work makes part of the SIMARIS project: a simulation prototype that integrate multi-source and multi-scale spatiotemporal constraints as forcing variable in order to assess the intensity and the variability of marine activities. A pre-processing step, executed in batch in GRASS GIS, aims to calculate data for initialization and simulation step, then the Agent Based simulation is launched (in batch) on GAMA platform. All these operations are scheduled in a Python script to perform pre-processing and simulation. The work presents an example of integration from a geographical point of view. The technical improvements are detailed and the potentials of such integrated solution are discussed.

Author Comment

This is an article intended for the OGRS2016 Collection. The proposed session is: "Modelling spatio-temporal processes using open source geospatial tools"

Some details on SIMARIS model have been added in subsection "The SIMARIS model".

More details and a flowchart (Figure 2) has been added to better explain the fishing activities modeling in the subsection "Procedure description and sample run".

Finally the work has been better framed into the current literature. In fact, since it mostly describes a technical solution, it could be used in different scientific contexts.

The text has been formatted responding to OGRS formatting rules.