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Spatial Data, Indexing Techniques

  • Reference work entry
Encyclopedia of GIS

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Synonyms

Probability treshold indexing; Spatial data indexing with uncertainty

Definition

The Probabilistic Threshold Indexing (PTI) method enables efficient query evaluation of a vast amount of spatial data that are inherently uncertain. Spatial data uncertainty is common in Location-Based Services (LBS), where the positions of users are acquired and queried for providing services. These location data are often imprecise due to measurement error, sampling error, or message delay. A user may also want to protect his/her privacy by providing a less precise location. These sources of data uncertainty have to be considered in order to avoid drawing erroneous conclusions about the data being queried.

Recently, a probabilistic query has been proposed to evaluate data uncertainty. This query returns probabilistic guarantees that specify the likeliness that an object satisfies the query. The PTI supports a variant of probabilistic queries, called probability threshold queries, which return...

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Notes

  1. 1.

    If \( U_0 \) and R are m-sided and n-sided polygons, the Minkowski Sum is a convex polygon with at most \( m+e \) edges, which requires \( O(m+e) \) time to compute [3].

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Author information

Authors and Affiliations

  1. Department of Computing, Hong Kong Polytechnic University, Hong Kong, China

    Reynold Cheng

Authors
  1. Reynold Cheng
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Editor information

Editors and Affiliations

  1. Faculty of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 55455, USA

    Shashi Shekhar (McKnight Distinguished University Professor) (McKnight Distinguished University Professor)

  2. Management Science and Information Systems Department, Rutgers Business School Newark and New Brunswick Rutgers, the State University of New Jersey, Newark, NJ, 07102, USA

    Hui Xiong (Assistant Professor) (Assistant Professor)

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© 2008 Springer-Verlag

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Cheng, R. (2008). Spatial Data, Indexing Techniques. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_1255

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