| Summary: | 碩士 === 國立成功大學 === 測量及空間資訊學系碩博士班 === 93 === At present, many organizations and institutions have established web-mapping systems to provide geo-information services through the internet. Generally, most of them used multi-representation databases as the technical kennel. In order to provide “smooth” and “seamless” map browsing quality, a large amount of preprocessed data should be saved in the database. This would increase the need of memory space and cause the problem of database maintenance. Furthermore the data to be saved in the database may not satisfy all requirements of the user. In contrast with the above method, web-mapping systems which use on-the-fly map generalization technique to provide multi-services can reduce the need of the memory spaces and improve the system use. However, on-the-fly map generalization still cannot be fully automated. Thus, it cannot satisfy all map service requirements.
This thesis presents the architecture of an on-demand web-mapping system which combines multi-representation database and on-the-fly map generalization to improve the drawback of existing web-mapping systems. A prototype of the on-demand web-mapping system based on commercial web-mapping software has been developed to exemplify the feasibility of this architecture. The result of our research shows that the prototype system can actually provide on-demand web-mapping and significantly improve the quality of map services.
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