City Research Online

Abstract

Many datasets have multiple perspectives – e.g. time, space and description – and often summaries are required for these multiple perspectives concurrently. A design challenge is to provide such a concurrent summary of perspectives in ways that neither clutter nor visually overload. We report on a framework that helps us do this. We demonstrate its use with an implementation based on a Crime Pattern Analysis case study that produces synoptic summarises of spatial, temporal and descriptive information in crime reports. Our work with crime analysts suggests that the framework offers some potential for Crime Pattern Analysis.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher Keywords:	Composite Views, Criminal Intelligence Analysis, Small Multiples
Subjects:	G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science > giCentre School of Science & Technology > Computer Science

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