منابع مشابه
Clustering to Reduce Spatial Data Set Size
Traditionally it had been a problem that researchers did not have access to enough spatial data to answer pressing research questions or build compelling visualizations. Today, however, the problem is often that we have too much data. Spatially redundant or approximately redundant points may refer to a single feature (plus noise) rather than many distinct spatial features. We can use density-ba...
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Article history: Received 25 January 2010 Received in revised form 29 April 2010 Accepted 13 June 2010 Available online 13 July 2010
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The cost of spatial-join processing can be very high due to the large sizes of spatial objects and the computation-intensive spatial operations. A filter-and-refine strategy is usually used to reduce the computing cost of spatial join when the number of spatial objects is large. In this paper we propose a method that aims to minimize the I/O cost at the refinement step. A graph model is introdu...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2018
ISSN: 1556-5068
DOI: 10.2139/ssrn.3145515