Speculations on Seamless, Scaleless Cartographic Data Bases

نویسنده

  • Stephen C. Guptill
چکیده

The idea of a seamless, scaleless data base of digital spatial data for use in auto mated cartography or geographic information systems has intrigued researchers for a number of years. Yet reviewing the plans of mapping agencies in the United States and Europe for their digital data bases in the 1990's shows partitioning by scale, space, and time. Why is this so? Is a seamless, scaleless data base still a quixotic quest, or have the conceptual models of spatial data and computer tech nology advanced to the point that such a goal is achievable? This paper contends that the impediments are now pragmatic concerns and not technological ones.

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تاریخ انتشار 2008