A framework of spatial co-location pattern mining for ubiquitous GIS

  • Kim S
  • Lee J
  • Ryu K
 et al. 
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Abstract

A spatial co-location pattern represents relationships between spatial features that are frequently located in close proximity to one another. Such a pattern is one of the most important concepts for geographic context awareness of ubiquitous Geographic Information System (GIS). We constructed a framework for co-location pattern mining using the transaction-based approach, which employs maximal cliques as a transaction-type dataset; we first define transaction-type data and verify that the definition satisfies the requirements, and we also propose an efficient way to generate all transaction-type data. The constructed framework can play a role as a theoretical methodology of co-location pattern mining, which supports geographic context awareness of ubiquitous GIS.

Author-supplied keywords

  • Co-location pattern mining
  • Spatial data mining
  • Ubiquitous GIS
  • Ubiquitous data mining

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Authors

  • Seung Kwan Kim

  • Jee Hyung Lee

  • Keun Ho Ryu

  • Ungmo Kim

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