TY  - BOOK
AU  - Chen,Zhenhua
AU  - Schintler,Laurie A.
TI  - Big data for regional science
SN  - 9781315270838
AV  - HT391 .B468 2018
U1  - 307.120727 
PY  - 2018///
CY  - Abingdon, Oxon, New York, NY
PB  - Routledge
KW  - Regional planning
KW  - Statstical methods
KW  - City planning
KW  - Statistical methods
KW  - Big data
N1  - chapter 1 Introduction; LAURIE A. SCHINTLER --; part Part I New big data sources in regional science --; chapter 2 Opportunities for retail data and their geographic integration in social science; GUY LANSLEY --; chapter 3 Use of probe data generated by taxis; JOSEP MARIA SALANOVA, MICHAL MACIEJEWSKI, JOSCHKA BISCHOFF, --; chapter 4 The emerging geography of globalizing Chinese cities based on web-based information services; JEAN-CLAUDE THILL, JAE SOEN SON AND MIN CHEN --; chapter 5 Using web-crawled data for urban housing research; ZHENHUA CHEN --; chapter 6 Examining intraurban migration in the Twin Cities metropolitan area using parcel data; SHIPENG SUN --; chapter 7 Crowdsourcing street beauty: Visual preference surveys in the big data era; ROBERT GOODSPEED --; chapter 8 Public response to campus shootings using social media; XINYUE YE --; part Part II Big data integration and management --; chapter 9 Using big (synthetic) data to identify local housing market attributes; A. YAIR GRINBERGER AND DANIEL FELSENSTEIN --; chapter 10 Using recurrent spatio-temporal profiles in GPS panel data for enhancing imputation of activity type; TAO FENG AND HARRY J.P. TIMMERMANS --; chapter 11 Processing uncertain GPS trajectory data for assessing the locations of physical activity; SUNGSOON HWANG --; chapter 12 Exploring digital technology industry clusters using administrative and frontier data; MAX NATHAN --; chapter 13 The integration of Internet data and census data for spatial analysis in a geoportal; BING SHE --; chapter 14 Big data, socio-environmental resilience and urban systems planning support; BRIAN DEAL --; chapter 15 Big data perspectives: Adoption of a regional environmental information system; ANDREA DE MONTIS, SABRINA LAI, NICOLETTA SANNIO AND --; part Part III Big data analytics in regional science --; chapter 16 From ‘big data’ to big regions: The geography of the American commute; ALASDAIR RAE --; chapter 17 Big data, agents and the city; ANDREW CROOKS --; chapter 18 Damage assessment of the urban environment during disasters using volunteered geographic information; CAROLYNNE HULTQUIST --; chapter 19 Integrating big data into a geospatial framework of disaster impact analysis; YURI MANSURY --; chapter 20 A big data application of spatial microsimulation for neighborhoods in England and Wales; MICHELLE A. MORRIS --; chapter 21 Big data clustering and its applications in regional science; YAZHOU REN --; chapter 22 Big data and shrinking cities: How Twitter can help determine urban sentiments; JUSTIN B. HOLLANder --; part Part IV New frontiers of big data in regional science --; chapter 23 Big data in emerging cities; PRANAB K. ROY CHOWDHURY, SUSANNA H. SUTHERLAND, KATHLEEN --; chapter 24 Recommendations for big data programs at transportation agencies; GREGORY D. ERHARDT --; chapter 25 Towards data-driven cities: Incorporating big data into urban management; HOSSEIN ESTIRI --; chapter 26 Big data, privacy and the policy process in the United States: In regional economic development; ROGER STOUGH --; chapter 27 Urban informatics: Defining an emerging field; ROBERT GOODSPEED --; chapter 28 The constantly shifting face of the digital divide: Implications for big data, urban informatics and regional science; LAURIE A. SCHINTLER
N2  - "Recent technological advancements and other related factors and trends are contributing to the production of an astoundingly large and rapidly accelerating collection of data, or'Big Data'. This data now allows us to examine urban and regional phenomena in ways that were previously not possible. Despite the tremendous potential of big data for regional science, its use and application in this context is fraught with issues and challenges. This book brings together leading contributors to present an interdisciplinary, agenda-setting and action-oriented platform for research and practice in the urban and regional community. This book provides a comprehensive, multidisciplinary and cutting-edge perspective on big data for regional science. Chapters contain a collection of research notes contributed by experts from all over the world with a wide array of disciplinary backgrounds. The content is organized along four themes: sources of big data; integration, processing and management of big data; analytics for big data; and, higher level policy and programmatic considerations. As well as concisely and comprehensively synthesising work done to date, the book also considers future challenges and prospects for the use of big data in regional science.Big Data for Regional Science provides a seminal contribution to the field of regional science and will appeal to a broad audience, including those at all levels of academia, industry, and government. "--Provided by publisher
UR  - https://www.taylorfrancis.com/books/9781315270838
ER  -