Journal cover Journal topic
Proceedings of the ICA
Journal topic
Volume 2
Proc. Int. Cartogr. Assoc., 2, 134, 2019
https://doi.org/10.5194/ica-proc-2-134-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Proc. Int. Cartogr. Assoc., 2, 134, 2019
https://doi.org/10.5194/ica-proc-2-134-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  10 Jul 2019

10 Jul 2019

CartAGen: an Open Source Research Platform for Map Generalization

Guillaume Touya1, Imran Lokhat1, and Cécile Duchêne2 Guillaume Touya et al.
  • 1Univ. Gustave Eiffel, LASTIG GEOVIS, IGN, ENSG, F-94160 Saint-Mande, France
  • 2Univ. Gustave Eiffel, LASTIG MEIG, IGN, ENSG, F-94160 Saint-Mande, France

Keywords: Generalization, Open source, Software, Agents

Abstract. Automatic map generalization is a complex task that is still a research problem and requires the development of research prototypes before being usable in productive map processes. In the meantime, reproducible research principles are becoming a standard. Publishing reproducible research means that researchers share their code and their data so that other researchers might be able to reproduce the published experiments, in order to check them, extend them, or compare them to their own experiments. Open source software is a key tool to share code and software, and CartAGen is the first open source research platform that tackles the overall map generalization problem: not only the building blocks that are generalization algorithms, but also methods to chain them, and spatial analysis tools necessary for data enrichment. This paper presents the CartAGen platform, its architecture and its components. The main component of the platform is the implementation of several multi-agent based models of the literature such as AGENT, CartACom, GAEL, CollaGen, or DIOGEN. The paper also explains and discusses different ways, as a researcher, to use or to contribute to CartAGen.

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