Design And Implementation Of Visualization System Of Forestry Statistical

Forestry statistical data is the general name of the digital data that reflect national economic and social phenomena obtained in forestry statistical work.Data visualization refers to the use of computer graphics and other technologies to present data in the form of direct graphics to data demanders.Visualization of forestry statistical data is conducive to effectively displaying the information and laws behind the statistical data,which plays an important role in promoting the informatization of forestry resources and the scientific development of forestry.At present,the scattered forestry statistical data resources are mainly presented in the form of a single data category and simple statistical charts.The low level of visualization and lack of personalized interactive display methods make it difficult for many forestry workers to find and use the information and rules behind the data.In order to realize the unified visualization of different types of forestry statistical data,improve the visualization effect of forestry data,enrich the data presentation forms,and facilitate forestry workers to discover and excavate the hidden information,knowledge and rules in the huge forestry statistical data,the visualization system of forestry statistical data was studied.The traditional data management mode is difficult to achieve the unified management,integration of different types of forestry statistical data because of the large span of statistical data years,obvious differences in data formats and categories.In this paper,the standardization method of forestry statistical data is studied.By introducing metadata structure and standardization system,a new method of statistical data management and standardization is proposed,and the metadata structure system of forestry statistical data is constructed.Furthermore,a unified data structure was established for different statistical data,which realized the integration and unified management of different types of data resources and data formats,and effectively solved the integration of basic forestry statistical data.In this paper,a forestry statistical data visualization system based on ASP.NET MVC is constructed to realize the visualization of different types of statistical data.The system consistsof data storage layer,background architecture layer and visual interface layer.Compared with the traditional system structure,the three-tier structure under B/S mode has novel and practical advantages.Data storage layer uses SQL database to store 36 different types of statistical data resources in six categories: China's forestry industry data,China's forestry ecological construction data,China's forest disaster data,China's forestry investment data,China's rural forestry data and China's forestry unit data,including 1998-2016 national and provincial forestry output value data,forest production data,etc.The total amount of data is 480,000.In the background of the system,Web Service is used to organize the subject information in the database and provide data interface services for the front-end.In addition,the visual interface layer of the system is integrated by the page framework module,the page programming language module and the page chart drawing module.Under the combined action of the three modules,the dynamic and real-time graphical display of data is realized.As a practical application study,this study attaches importance to the visual application of forestry statistics,and combines with forestry information websites to provide forestry knowledge services to the vast number of users.The system has the functions of forestry thematic map display,forestry attribute information query,visual statistical analysis and so on.It has strong expansibility and is suitable for the unified management and visualization of various statistical data,and enhances the user's human-computer interaction experience.It has high practical significance and application value.It provides a platform for forestry workers to conduct unified management and visual analysis of statistical data.This study improves the level of visualization of forestry statistical data,enriches the data presentation forms,and provides a certain reference value for the future visualization of statistical data.