Oriented spatial box plot, a new pattern for points clusters
by Laurent Etienne; Thomas Devogele; Gavin McArdle
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 9, No. 3, 2014

Abstract: Nowadays, an abundance of sensors are used to collect very large datasets containing spatial points which can be mined and analysed 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 summarising and visualising 2D point clusters. The pattern is suitable for detecting outliers and understanding the spatial density of point clusters.

Online publication date: Fri, 10-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com