CartAGen
CartAGen is a plugin for GeOxygene dedicated to cartographic generalisation maintained by COGIT research team from IGN France, the French national mapping agency. CartAGen is a research platform and is mainly focused on map generalization research needs.
- Date 18/05/2017.
- Author: Guillaume Touya
- Contact {firstname.lastname}@ign.fr.
Description
CartAGen is a Java research platform dedicated to map generalization and built upon many years of research at IGN France. CartAGen can be seen as a plugin for GeOxygene Java platform or as a standalone platform. It contains implementations of many generalization algorithms of the literature, but most of all, it contains implementations of several map generalization processes that automatically orchestrate these algorithms, including complete or partial implementations of the multi-agents based AGENT, CartACom, GAEL, and CollaGen models.
AGENT generalization of a small town to 1:60k:
AGENT mountain road generalization (DuchĂȘne 2014):
CartACom generalization to 1:50k (DuchĂȘne et al. 2012):
Getting Started
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Install CartAGen by cloning it in your Java IDE (no executable version yet)
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Basic use of CartAGen:
- Getting started with generalization:
- Advanced use of CartAGen:
Watch videos
These videos show past results of the IGN generalization models that are not reproducible with CartAGen yet.
Gaffuri, J. (2007, September). Field deformation in an agent-based generalisation model: the GAEL model. In F. Probst and C. Kessler (Eds.), GI-days 2007 - young researches forum, Volume 30 of IFGI prints, pp. 1-24
DuchĂȘne, C. (2001, April). Road generalisation using agents. In G. Higgs and D. B. Kidner (Eds.), Proceedings of the GIS Research UK 9th Annual Conference, Glamorgan, UK. Wales Debating Federation/University of Glamorgan.
Results
Examples of results obtained with CartAGen platform
On-Going Projects
On-going research projects on CartAGen platform
Implemented generalization algorithms
A list, not exhaustive yet, of the generalization algorithms available in CartAGen platform