Simulation of marine activities by coupling Geographical Information System and Agent Based Model: improvements and technical achievements
- Published
- Accepted
- 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
- 2016. Simulation of marine activities by coupling Geographical Information System and Agent Based Model: improvements and technical achievements. PeerJ Preprints 4:e2231v1 https://doi.org/10.7287/peerj.preprints.2231v1
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"
