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dc.contributor.authorCheshire, James
dc.date.accessioned2021-02-24T11:40:44Z
dc.date.available2021-02-24T11:40:44Z
dc.date.issued2020
dc.identifier.citationJames Cheshire, Code/Space, Editor(s): Audrey Kobayashi, International Encyclopedia of Human Geography (Second Edition), Elsevier, 2020, Pages 303-308, ISBN 9780081022962, https://doi.org/10.1016/B978-0-08-102295-5.10524-4
dc.identifier.urihttps://opendocs.ids.ac.uk/opendocs/handle/20.500.12413/16006
dc.description.abstractCode has become ubiquitous, from shopping transactions to travel, and the spaces it creates. When Kitchin and Dodge were first formalizing their thoughts on code space and its associated concepts, the hype of “big data” was beginning to ramp up as new technologies were generating tremendous volumes of data logging human behavior. Since then, attention has shifted from “big data” to “artificial intelligence” as more sophisticated algorithms are used to process data, make predictions, drive cars, and even act as personal assistants. Some of the early examples of code spaces appear low-tech given how rapidly code has become more pervasive, but it is for this reason that the underlying theory and conceptual basis posited by Kitchin and Dodge are more important and relevant than ever.
dc.publisherElsevier Ltd
dc.titleCode/Space
dc.typeBook chapter
dc.rights.holderCopyright © 2020 Elsevier Ltd. All rights reserved
dc.identifier.externalurihttps://www.sciencedirect.com/science/article/pii/B9780081022955105244?via%3Dihub
dc.identifier.agES/R001596/1
dc.identifier.doi10.1016/B978-0-08-102295-5.10524-4


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