
Algorithm for tree growth modeling and visualization
Author(s) -
L.V. Shchegoleva,
AUTHOR_ID,
D.V. Gudach,
A.V. Kabonen,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Publication title -
lesnoj vestnik
Language(s) - English
Resource type - Journals
ISSN - 2542-1468
DOI - 10.18698/2542-1468-2022-1-50-57
Subject(s) - picea abies , tree (set theory) , shoot , branching (polymer chemistry) , visualization , computer science , botany , mathematics , biology , data mining , combinatorics , chemistry , organic chemistry
The developed algorithm for modeling the growth of a tree using the example of European spruce (Picea abies) for three-dimensional visualization of plant development is presented. A special structure of classes is proposed that form the internal structure of a tree by a set of interconnected shoots that grow from buds. They store the numerical characteristics of the structure (age, trunk diameter, shoots length and the volume of tree photosynthetic biomass) and the spatial coordinates of structural elements on the parent object (last year’s shoot). The algorithm for modeling the growth of a spruce tree includes the generation of random values for the characteristics of shoots and buds. The proposed algorithm makes it possible to realize the structural diversity of branching processes and the stochastic nature of development under the conditions of tree growth in the Republic of Karelia.