Multiresolution Spatial Databases: Making Web-Based Spatial Applications Faster Export

@incollection{citeulike:3844537, abstract = {Spatial data has now been used extensively in the Web environment, providing online customized maps and supporting map-based applications. The full potential of Web-based spatial applications, however, has yet to be achieved due to performance issues related to the large sizes and high complexity of spatial data. In this paper, we introduce a multiresolution approach to spatial data management and query processing such that the database server can choose spatial data at the right resolution level for different Web applications. One highly desirable property of the proposed approach is that the server-side processing cost and network traffic can be reduced when the level of resolution required by applications are low. Another advantage is that our approach pushes complex multiresolution structures and algorithms into the spatial database engine. That is, the developer of spatial Web applications needs not to be concerned with such complexity. This paper explains the basic idea, technical feasibility and applications of multiresolution spatial databases.}, author = {Zhou, Xiaofang and Prasher, Sham and Sun, Sai and Xu, Kai}, citeulike-article-id = {3844537}, citeulike-linkout-0 = {http://www.springerlink.com/content/7q80krqg2qpt9q5t}, journal = {Advanced Web Technologies and Applications}, keywords = {data-transfert, internet, multi-representation, user-need}, pages = {36--47}, posted-at = {2009-01-03 13:05:09}, priority = {2}, title = {Multiresolution Spatial Databases: Making Web-Based Spatial Applications Faster}, url = {http://www.springerlink.com/content/7q80krqg2qpt9q5t}, year = {2004} }

TY - CHAP ID - citeulike:3844537 L3 - citeulike-article-id:3844537 N2 - Spatial data has now been used extensively in the Web environment, providing online customized maps and supporting map-based applications. The full potential of Web-based spatial applications, however, has yet to be achieved due to performance issues related to the large sizes and high complexity of spatial data. In this paper, we introduce a multiresolution approach to spatial data management and query processing such that the database server can choose spatial data at the right resolution level for different Web applications. One highly desirable property of the proposed approach is that the server-side processing cost and network traffic can be reduced when the level of resolution required by applications are low. Another advantage is that our approach pushes complex multiresolution structures and algorithms into the spatial database engine. That is, the developer of spatial Web applications needs not to be concerned with such complexity. This paper explains the basic idea, technical feasibility and applications of multiresolution spatial databases. JF - Advanced Web Technologies and Applications EP - 47 TI - Multiresolution Spatial Databases: Making Web-Based Spatial Applications Faster SP - 36 KW - data-transfert KW - internet KW - multi-representation KW - user-need AU - Zhou, Xiaofang AU - Prasher, Sham AU - Sun, Sai AU - Xu, Kai PY - 2004/// UR - http://www.springerlink.com/content/7q80krqg2qpt9q5t ER -