Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL

Authors

  • Michael Henke University of Göttingen
  • Ole Kniemeyer MAXON Computer GmbH
  • Winfried Kurth University of Göttingen

Keywords:

Plant modelling, object instancing, graph grammar, Xfrog, XL, break GroIMP

Abstract

Two well-known approaches for modelling virtual vegetation are grammar-based methods (L-systems) and the Xfrog method, which is based on graph transformations expanding "multiplier" nodes. We show that both approaches can be unified in the framework of "relational growth grammars", a variant of parallel graph grammars. We demonstrate this possibility and the synergistic benefits of the combination of both methods at simple plant models which were processed using our open-source software GroIMP.

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Author Biographies

Michael Henke, University of Göttingen

Department Ecoinformatics, Biometrics and Forest Growth

Winfried Kurth, University of Göttingen

Department Ecoinformatics, Biometrics and Forest Growth

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Published

2017-05-09

How to Cite

Henke, M., Kniemeyer, O., & Kurth, W. (2017). Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL. Computing and Informatics, 36(1), 33–54. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2017_1_33