Urban informatics : using big data to understand and serve communities / Daniel T. O'Brien.
By: O'Brien, Daniel T [author.].
Series: Chapman & Hall/CRC data science series.Publisher: Boca Raton : CRC Press, ©2023Edition: First edition.Description: 322 pages cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781032264592.Subject(s): City planning | Big dataGenre/Form: Print books.Summary: "This book is an onramp to the study of urban informatics, intended for advanced undergraduate and graduate level methods courses that want to maintain a linkage with substantive themes relevant to communities (and individual learners with similar goals; also see Q 9). It is developed from my experience as Director of Masters of Science in Urban Informatics at Northeastern University and the primary instructor for the introductory course, "Big Data for Cities" since 2014. Importantly, it is ostensibly a methods textbook that introduces the reader to the tools of data management, analysis, and manipulation using R statistical software, but it also has a pervasive conceptual curriculum"--| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | HT166 .O333 2023 (Browse shelf) | Available | AU00000000019760 |
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| HT161 .Y83 2017 Garden city : supergreen buildings, urban skyscapes and the new planted space / | HT164.F8 C85 2017 Val D'Europe : a city vision / | HT166 .C3557 2017 Beyond mobility : planning cities for people and places / | HT166 .O333 2023 Urban informatics : using big data to understand and serve communities / | HT169.A7 U73 2015 Urban design in the Arab world : reconceptualizing boundaries / | HT169.A78 H57 2016 Airport urbanism : infrastructure and mobility in Asia / | HT169.F72 E57 2016 The making of grand Paris : metropolitan urbanism in the twenty-first century / |
Includes bibliographical references and index.
"This book is an onramp to the study of urban informatics, intended for advanced undergraduate and graduate level methods courses that want to maintain a linkage with substantive themes relevant to communities (and individual learners with similar goals; also see Q 9). It is developed from my experience as Director of Masters of Science in Urban Informatics at Northeastern University and the primary instructor for the introductory course, "Big Data for Cities" since 2014. Importantly, it is ostensibly a methods textbook that introduces the reader to the tools of data management, analysis, and manipulation using R statistical software, but it also has a pervasive conceptual curriculum"--