Spatial Analysis Techniques In The Grid Visualization Management System And Practice

Spatial analysis is one of the important function in Geographic Information System. Spatial analysis is based on the geographical location of the object morphology of spatial data analysis, the element is spatial analysis model building. Spatial analysis model is based on the analysis model of spatial data, it's can be used to resolve the data's description,relationship,prediction and analysis. Only build an effective spatial analysis model, that's rather analysis spatial data and achieve the GIS function .GIS with the powerful spatial analysis capabilities are distinguished from the computer graphics system and database management system of the one of the salient features. GIS application should not stop at the initial stage of the spatial data's entry , modify, query and display. It's hoped to get valuable knowledge and information from the mass data, that is to identify the relationship between the data and analysis the reason, according to the existing data, to predict the future development trend. Therefore, the United Kingdom Openshaw has purforth the notion of GeoComputaion (GC) that GIS will be forefront of 21st century research area and the product of 21st century"post GIS"development. GIS store a large number of spatial data, hidden much useful information. GIS spatial analysis is excavated knowledge from the GIS database of one of the most important instrument.Review the essay research work, can be summarized as follows:1,Geographic Information Systems (GIS) has a strong spatial data management, spatial analysis and data visualization, that's rather to solve problems of grid management encountered. It can be comprehensive analysis of the spatial location and retrieval data and to make use of database technology to correspond spatial data (substations, towers and other equipment) and property data (such as equipment operation, the trend of distribution, etc.) , In order to allow user directly complete the work in the geographical background use visualized image and intuitive to query, statistics, output, to improve power grid management to maximize the efficiency.2,Combined with spatial analysis technology in the shortest path and buffer zone analysis algorithm to be applied to the Grid Visual Manage System , that's rather to achieve grid business management.3,According to the characteristics of the system, based on the server and the client to select Hybrid Caching to optimized the performance. thereby, enhancing the system's response speed and user experience.