Identifying patterns in spatial information: A survey of methods

Shashi Shekhar, Michael R. Evans, James M. Kang, Pradeep Mohan

Research output: Contribution to journalArticlepeer-review

96 Scopus citations

Abstract

technologies emphasize the need for automated discovery of spatial knowledge. Spatial data mining is the process of discovering interesting and previously unknown, but potentially useful patterns from large spatial databases. The complexity of spatial data and implicit spatial relationships limits the usefulness of conventional data mining techniques for extracting spatial patterns. In this paper, we explore the emerging field of spatial data mining, focusing on different methods to extract patterns from spatial information. We conclude with a look at future research needs.

Original languageEnglish (US)
Pages (from-to)193-214
Number of pages22
JournalWiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Volume1
Issue number3
DOIs
StatePublished - Dec 1 2011

Fingerprint Dive into the research topics of 'Identifying patterns in spatial information: A survey of methods'. Together they form a unique fingerprint.

Cite this