The Research And Development Of Ginkgo Individual Tree Growth Model Visualization

In this study, the data were collected from remeasured permanent sample plot in Ginkgo forests in Tai Xing, Jiangsu, repeated application of fixed sample test data in permanent plot. The major independent variables have been selected from many variations by correlation analysis of individual trees with diameter, tree height and tree crown, established a ginkgo tree and the distance of a single independent visual dynamic growth model. Through the dynamic simulation of forest, plant visualization and the integration of computer models, explore the dynamic simulation of Forest Science Development in China, to the integration of computer science has done a good try.The individual tree growth model for Ginkgo which is constructed in this paper reflects objectively the growth dynamics of Ginkgo plantation the location of study, simulates the growth process of Ginkgo plantation more preferably, which has theoretical and practical value in a certain degree. The tentative results are as follows:1,The results establish a stable, efficient, tailored to the Gingko individual tree growth model visualization;2,Using.NET technology design a more powerful model of software architecture visualization, and using COM technology inference engine, data access service package for the server-side components, realized the B/S computing model of multi-structural applications, not only achieved the B/S application computing model of multi-layer structure, and easy to modify and reuse the code;3,A network platform was constracted to enable the system to use more broadly. The system has broken the traditional way of technical advice, through the network that the system of modern information dissemination tools to improve the utilization of greater, Ginkgo plant technology to be more popular,4,Both constructive knowledge and heuristic knowledge can be applied to the visual ginkgo individual-tree growth model;5,Its knowledge system, open to constant modification and supplementation, can be continuously advanced towards an optimized modelling information knowledge system. The model features centralized management, easy access to maintenance, reduction of management costs and full support for open standards, all of which help ensure system interoperability.