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Outlier Detection, Spatial

  • Reference work entry
Encyclopedia of GIS

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Synonyms

Spatial anomaly detection

Definition

Spatial outliers or abnormal spatial patterns are those spatial objects whose non-spatial attribute values are markedly different from those of their spatial neighbors. The identification of spatial outliers can be used to reveal hidden but valuable knowledge in many applications. For example, it can help locate extreme meteorological events such as tornadoes and hurricanes, identify aberrant genes or tumor cells, discover highway traffic congestion points, pinpoint military targets in satellite images, determine possible locations of oil reservoirs, and detect water pollution incidents.

Historical Background

Data mining is a process used to dig out useful “nuggets of information” from large amounts of data stored either in databases, data warehouses, or other information repositories [5]. These “nuggets” can be used to identify the patterns that occur frequently, illustrate the interesting associations among different patterns, and...

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Author information

Authors and Affiliations

  1. Department of Computer Science, Virginia Tech, Falls Church, VA, USA

    Yufeng Kou & Chang-Tien Lu

Authors
  1. Yufeng Kou
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  2. Chang-Tien Lu
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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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Kou, Y., Lu, CT. (2008). Outlier Detection, Spatial. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_945

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