Etienne, Laurent and Devogele, Thomas and McArdle, Gavin (2014) Oriented Spatial Box Plot, a New Pattern for Points Clusters. International Journal of Business Intelligence and Data Mining, 9 (3). pp. 233-253. ISSN 1743-8187

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Abstract

Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analyzed to extract meaningful patterns and information. This article examines patterns which describe the dispersion of 2D data around a central tendency. Several state of the art patterns for point cluster analysis are presented and critiqued before a new pattern, the Oriented Spatial Box Plot, is defined. The Oriented Spatial Box Plot extends the classical one-dimensional box plot for summarizing and visualizing 2D point clusters. The pattern is suitable for detecting outliers and understanding the spatial density of point clusters.

Item Type:	Article
Keywords:	Oriented Spatial Box Plot; New Pattern for Points Clusters;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	6084
Identification Number:	https://doi.org/10.1504/IJBIDM.2014.068367
Depositing User:	Dr. Gavin McArdle
Date Deposited:	06 May 2015 10:56
Journal or Publication Title:	International Journal of Business Intelligence and Data Mining
Publisher:	Inderscience
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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