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  • 2017Journal Article Research Paper
    [["dc.bibliographiccitation.firstpage","33"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Computing and Informatics"],["dc.bibliographiccitation.lastpage","54"],["dc.bibliographiccitation.volume","36"],["dc.contributor.author","Henke, Michael"],["dc.contributor.author","Kniemeyer, Ole"],["dc.contributor.author","Kurth, Winfried"],["dc.date.accessioned","2019-07-09T11:44:48Z"],["dc.date.available","2019-07-09T11:44:48Z"],["dc.date.issued","2017"],["dc.description.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 uni ed in the framework of \\relational growth grammars\", a variant of parallel graph grammars. We demonstrate this possibility and the synergistic bene ts of the combination of both methods at simple plant models which were processed using our open-source software GroIMP."],["dc.identifier.doi","10.4149/cai_2017_1_33"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14909"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/59100"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1335-9150"],["dc.relation.orgunit","Abteilung Ökoinformatik, Biometrie und Waldwachstum"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","570"],["dc.title","Realization and Extension of the Xfrog Approach for Plant Modelling in the Graph-Grammar Based Language XL"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]
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