Urban informatics : using big data to understand and serve communities / Daniel T. O'Brien. English
Material type:
TextSeries: Chapman & Hall/CRC data science seriesPublication details: Boca Raton : CRC Press, 2023Edition: 1st edDescription: xv, 323 p. 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781032264592 (pbk.)Subject(s): City planning | Big data | Urban informationAdditional physical formats: Online version:: Urban informaticsDDC classification: 307.1216 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"-- Provided by publisher.
| Item type | Current library | Home library | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
| Books | Jayakar Knowledge Resource Centre | Jayakar Knowledge Resource Centre | 307.1216 OBR.D (Browse shelf(Opens below)) | Available | 49.99 Pound | 519148 |
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"-- Provided by publisher.
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