The Research And Application Of WebGIS Based On Shared Data

Traditional WebGIS system, which has low efficiency in management, also hasdifficulty in data sharing. To help solve these two problems, we managed to develop aWebGIS system based on shared data. In this paper, we focused on four areas: archi-tecture of shared data based WebGISsystem, shared data based ArcGIS data model, theanalysis of USGS shared earthquake data as well as using genetic algorithm to improvethe fuzzy membership kriging in air pollution.Based on the comparison and analysis of existing GIS systems, a WebGIS systemstructure based on shared data was presented. A system platform was built and a sim-ple test was conducted using the ArcGIS Server REST API and the ArcGIS API forSilverlight.In this paper, we designed a shared data based ArcGIS data model. VISIO UMLstatic structure diagrams was used to establish a shared data based ArcGIS data model.Then the model was converted to Geodatabase spatial database model format. The rawdata was imported and simple data editing was carried out. Finally, we successfullyapplied the former designed shared data based ArcGIS Data Model to the seismic datacapture and the evaluation of atmospheric environment.An in-depth research on the analysis of earthquake spatial data shared by USGSwas conducted in this paper. Sharing from the perspective of data fusion, we firstlyobtained earthquake attribute information from the USGS Web site. And then a coordi-nate conversion and a symbols display work were implemented on these data. Duringanalysis and processing metioned above, we first made a hotspots analysis on the seis-mic spatial information. The the level of harm caused by the earthquake was displayedvisually on the map. After that we redered the size and the distribution of interpolationusingappropriatecolors. Themethodofboundscroppingwashandedoutandtheentirecalculation of spatial analysis was completed.This paper also attempted to using genetic algorithm to improve the fuzzy mem- bership kriging in air pollution based on shared data. A number of geographical lim-itations of kriging method in spatial analysis are discussed. The introduction of thegenetic algorithm in fuzzy logic can overcome this fault. The genetic algorithm hashigher efficiency and robustness. And its determination of parameter values i s com-pletely without regard to previous cases or experiences. The genetic algorithm is soeasy to program that you can apply it in different case studies.Fanally, A prototype WebGIS system based on shared data containing former con-tent was implemented under fundamental research and development process of GISsoftware. The basic functions, complex functions, USGS seismic data analysis mod-ule, air pollution data interpolation module of the system were carried out using XAMLand C#. Test run results showed that the functional modules of the system were collab-orative, stable, strong, practical, and able to conduct sophisticated analysis operations.