Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89623
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.contributor.editorShi, WZen_US
dc.contributor.editorGoodchild, MFen_US
dc.contributor.editorBatty, Men_US
dc.contributor.editorKwan, MPen_US
dc.contributor.editorZhang, Aen_US
dc.date.accessioned2021-04-14T03:57:21Z-
dc.date.available2021-04-14T03:57:21Z-
dc.identifier.isbn978-981-15-8982-9 (Hardcover)en_US
dc.identifier.isbn978-981-15-8985-0 (Softcover)en_US
dc.identifier.isbn978-981-15-8983-6 (ebook)en_US
dc.identifier.urihttp://hdl.handle.net/10397/89623-
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights©The Editor(s) (if applicable) and The Author(s) 2021. This book is an open access publication.en_US
dc.rightsOpen Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.en_US
dc.rightsThe images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en_US
dc.rightsThe use of general descriptive names, registered names, trademarks, service marks, etc. in this publi-cation does not imply, even in the absence of a specific statement, that such names are exempt from therelevant protective laws and regulations and therefore free for general use.en_US
dc.rightsThe publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained here in or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.en_US
dc.subjectUrban informaticsen_US
dc.subjectUrban scienceen_US
dc.subjectGISen_US
dc.subjectUrban computingen_US
dc.subjectSensingen_US
dc.subjectBig dataen_US
dc.subjectSmart citiesen_US
dc.subjectSpatial data infrastructureen_US
dc.subjectBig data analyticsen_US
dc.subjectData-driven geographyen_US
dc.subjectOpen accessen_US
dc.titleUrban informaticsen_US
dc.typeBooken_US
dc.identifier.spage1en_US
dc.identifier.epage941en_US
dc.identifier.doi10.1007/978-981-15-8983-6en_US
dcterms.abstractThis open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationShi, WZ, Goodchild, MF, Batty, M, Kwan, MP & Zhang, A (Eds.). Urban informatics. Singapore: Springer, 2021en_US
dcterms.issued2021-
dc.description.validate202104 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0856-n01-
dc.description.pubStatusPublisheden_US
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