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E. P. F. Chan and J. Wong, "Querying and visualization of geometric data," Proceedings of 4th ACM International Workshop on Advances in GIS, Rockville, Maryland., 1996, pp. 131140.

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Maintaining Quality of Service for Adaptive Mobile Map Clients - Abdelsalam (2001)   (2 citations)  (Correct)

....maps may contain thousands CHAPTER 2. BACKGROUND 29 or even millions of objects, and with single geometric objects that could contain up to a thousand points, it is essential to minimize data accesses by just retrieving objects that can be displayed meaningfully and with a least number of points [8]. This argues for a need for data structures that are suited to the nature of geometric data. a) Roads Parks Schools Elevation Roads 1 1 5 1 3 1 2 Parks 5 1 4 2 Schools 3 1 4 1 1 Elevation 2 1 2 1 1 (b) Weights Roads 0.087 Parks 0.519 Schools 0.192 Elevation 0.202 Table 2. Matrix of pairwise ....

E. P. F. Chan and J. Wong, "Querying and visualization of geometric data," Proceedings of 4th ACM International Workshop on Advances in GIS, Rockville, Maryland., 1996, pp. 131140.


SVIQUEL: A Spatial Visual Query and Exploration Language - Kaushik, Rundensteiner (1997)   (4 citations)  (Correct)

....mechanism and a graphical display of results. We borrow their ideas of sliders and coupling of interfaces for feedback but add new features for spatial data types. Most of the existing spatial query languages are SQL based, requiring users to refer to geometric data using textual queries [Ege94] CW96] Some of them map complex spatial data into the (simple) relational model, then requiring the users to understand the implementation details of spatial data. GEO QUEL [BS77] and Query by Pictorial Example [CF80] are examples of query languages where an image depicting the relationship is drawn ....

E. P. Chan and J. T. Wong. Querying and visualization of geometric data. Proceedings of ACM GIS Workshop, November 1996.

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