Name
Abstract | ||
|---|---|---|
Virtual geographic environments related to dynamic processes contribute to a human understanding of the real world. The results of growth simulations provide good estimations of the future status of forests, but they are typically expressed in plain text summaries, tables or static displays, making it difficult to analyse, understand and further apply the forecast data. The objectives of this study were to propose a strategy for integrating a three-dimensional (3D) geographic environment with growth models and to develop a 3D stand visualization software prototype. Forest growth increments were predicted using the growth models, whereas stand dynamics were simulated using detailed tree models to recognize the changes in the branch whorls and height of individual trees. The spatial structure of the stand was represented by linking each tree diameter class to a spatial distribution according to the features of a Voronoi diagram. The stand visualization system VisForest, which allows users to predict increments in the diameter and height of trees, was extended to estimate the number of trees in each diameter class and to visualize many aspects of a forest stand, e.g., individual tree structure, stem diameter at breast height (DBH, i.e., 1.3 m) distribution and height. The software system provides a specialized, intuitive tool for the visualization of a stand, thus facilitating the participation of various stakeholders in management and education. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s12145-018-0356-4 | Earth Science Informatics |
Keywords | Field | DocType |
Virtual geographic environment,Three-dimensional visualization,Forest,Growth simulation | Data mining,Visualization,Computer science,Software system,Plain text,Voronoi diagram,Tree structure,Diameter at breast height,Software visualization,Spatial distribution | Journal |
Volume | Issue | ISSN |
12.0 | 1 | 1865-0481 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liyu Tang | 1 | 21 | 5.60 |
| Xianmin Peng | 2 | 0 | 0.34 |
| Chongcheng Chen | 3 | 108 | 26.08 |
| Huang Hongyu | 4 | 4 | 2.07 |
| Ding Lin | 5 | 13 | 3.74 |