Etienne, Laurent, 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 |
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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: | 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 |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/6084 |
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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