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Spatialization


Fabrikant, Sara I (2017). Spatialization. In: Richardson, Douglas; Castree, Noel; Goodchild, Michael F; Kobayashi, Audrey; Liu, Weidong; Marston, Richard A. The International Encyclopedia of Geography: People, the Earth, Environment, and Technology. Chichester UK: Wiley, 1-7.

Abstract

Depicting information collections in map‐like displays, even if the collections are not themselves explicitly spatial, is an information visualization technique known as spatialization. Spatialization exploits the power of metaphors in graphic displays as cognitive aids, facilitating information seekers to sift more efficiently through, and gain knowledge from, vast amounts of accumulated data, such as medical records, banking transactions, or information‐bearing items archived in online collections. Spatialization has emerged as a scientific research field within GIScience since the early 1990s, inspired by advances in computer graphics, human–computer interaction, and visualization research developing mostly outside of geography. Spatialization involves a systematic transformation of high‐dimensional datasets into lower‐dimensional, visuospatial representations by means of spatial metaphors. This is typically performed in a two‐step process: (i) a computational transformation to rearrange data items based on their content and functional relationships into a logically defined coordinate system; and (ii) the graphic depiction of the spatialized data to facilitate information exploration and knowledge construction.

Abstract

Depicting information collections in map‐like displays, even if the collections are not themselves explicitly spatial, is an information visualization technique known as spatialization. Spatialization exploits the power of metaphors in graphic displays as cognitive aids, facilitating information seekers to sift more efficiently through, and gain knowledge from, vast amounts of accumulated data, such as medical records, banking transactions, or information‐bearing items archived in online collections. Spatialization has emerged as a scientific research field within GIScience since the early 1990s, inspired by advances in computer graphics, human–computer interaction, and visualization research developing mostly outside of geography. Spatialization involves a systematic transformation of high‐dimensional datasets into lower‐dimensional, visuospatial representations by means of spatial metaphors. This is typically performed in a two‐step process: (i) a computational transformation to rearrange data items based on their content and functional relationships into a logically defined coordinate system; and (ii) the graphic depiction of the spatialized data to facilitate information exploration and knowledge construction.

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Additional indexing

Item Type:Book Section, not_refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:6 March 2017
Deposited On:31 Jan 2020 08:01
Last Modified:07 Apr 2020 07:26
Publisher:Wiley
ISBN:978-0-470-65963-2
OA Status:Closed
Publisher DOI:https://doi.org/10.1002/9781118786352.wbieg0812

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