City Research Online

Abstract

We discuss the ‘tilemap’ design space which encompasses approaches that use regular arrays of glyphs to depict geographical variation in multivariate data. We particularly focus on the potential for tilemaps to depict geographical variation in rich summary statistics of distributions, separating data out by category, showing associations between variables and studying multivariate outputs of geographically-weighted statistics. We consider the parameters of the design space, some design considerations, examples of its use and how it compares to other approaches. The tilemap design space is intended to help and encourage the use of rich geographical summaries of data where there are multiple variables, particularly for their comparison by location.

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2018 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.
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

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