Mullally, Emma-Claire and O'Donoghue, Diarmuid and Bohan, Amy and Keane, Mark T. (2005) Geometric Proportional Analogies In Topographic Maps: Theory and Application. In: Applications and Innovations in Intelligent Systems XIII. Springer, pp. 95-108. ISBN 9781846282232

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Abstract

This paper details the application of geometric proportional analogies in the sub-classification of polygons within a topographic (land cover) map. The first part of this paper concerns geometric proportional analogies that include attributes (e.g. fill-pattern and fill-colour). We describe an extension to the standard theory of analogy that incorporates attributes into the analogical mapping process. We identify two variants on this “attribute matching” extension, which is required to solve different types of geometric proportional analogy problems. In the second part of this paper we describe how we use the simpler of these algorithms to generate inferences in topographic maps. We detail the results of identifying a number of different structures on a sample topographic map.

Item Type:	Book Section
Additional Information:	Cite this paper as: Mullally EC., O’Donoghue D.P., Bohan A.J., Keane M.T. (2006) Geometric Proportional Analogies In Topographic Maps: Theory and Application. In: Macintosh A., Ellis R., Allen T. (eds) Applications and Innovations in Intelligent Systems XIII. Springer, London
Keywords:	Geometric Proportional Analogies; Topographic Maps; attribute matching;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	8170
Identification Number:	https://doi.org/10.1007/1-84628-224-1
Depositing User:	Dr. Diarmuid O'Donoghue
Date Deposited:	25 Apr 2017 16:37
Publisher:	Springer
Refereed:	Yes
URI:	http://link.springer.com
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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