An approach to multiscale modelling with graph grammars | Zendy

Yongzhi Ong | Zendy; Katarína Streit | Zendy; M. Henke | Zendy; Winfried Kurth | Zendy

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An approach to multiscale modelling with graph grammars

Author(s) -

Yongzhi Ong,

Katarína Streit,

M. Henke,

Winfried Kurth

Publication year - 2014

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcu155

Subject(s) - computer science , graph , representation (politics) , multiscale modeling , theoretical computer science , scale (ratio) , data structure , machine learning , artificial intelligence , programming language , biology , bioinformatics , physics , quantum mechanics , politics , political science , law

Functional-structural plant models (FSPMs) simulate biological processes at different spatial scales. Methods exist for multiscale data representation and modification, but the advantages of using multiple scales in the dynamic aspects of FSPMs remain unclear. Results from multiscale models in various other areas of science that share fundamental modelling issues with FSPMs suggest that potential advantages do exist, and this study therefore aims to introduce an approach to multiscale modelling in FSPMs.

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