000 06067cam a2200325Ii 4500
001 9781315270838
008 180706s2018 enkabd ob 001 0 eng d
020 _a9781315270838
_q(e-book : PDF)
020 _a9781351983242
_q(e-book: Mobi)
020 _z9781138282186
_q(hardback)
024 7 _a10.4324/9781315270838
_2doi
035 _a(OCoLC)993951285
040 _aFlBoTFG
_cFlBoTFG
_erda
050 4 _aHT391
_b.B468 2018
082 0 4 _a307.120727
_bB592
245 0 0 _aBig data for regional science /
_cedited by Laurie A. Schintler and Zhenhua Chen.
264 1 _aAbingdon, Oxon ;
_aNew York, NY :
_bRoutledge,
_c2018.
300 _a1 online resource (xxv, 350 pages)
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
505 0 0 _tchapter 1 Introduction /
_rLAURIE A. SCHINTLER --
_tpart Part I New big data sources in regional science --
_tchapter 2 Opportunities for retail data and their geographic integration in social science /
_rGUY LANSLEY --
_tchapter 3 Use of probe data generated by taxis /
_rJOSEP MARIA SALANOVA, MICHAL MACIEJEWSKI, JOSCHKA BISCHOFF, --
_tchapter 4 The emerging geography of globalizing Chinese cities based on web-based information services /
_rJEAN-CLAUDE THILL, JAE SOEN SON AND MIN CHEN --
_tchapter 5 Using web-crawled data for urban housing research /
_rZHENHUA CHEN --
_tchapter 6 Examining intraurban migration in the Twin Cities metropolitan area using parcel data /
_rSHIPENG SUN --
_tchapter 7 Crowdsourcing street beauty: Visual preference surveys in the big data era /
_rROBERT GOODSPEED --
_tchapter 8 Public response to campus shootings using social media /
_rXINYUE YE --
_tpart Part II Big data integration and management --
_tchapter 9 Using big (synthetic) data to identify local housing market attributes /
_rA. YAIR GRINBERGER AND DANIEL FELSENSTEIN --
_tchapter 10 Using recurrent spatio-temporal profiles in GPS panel data for enhancing imputation of activity type /
_rTAO FENG AND HARRY J.P. TIMMERMANS --
_tchapter 11 Processing uncertain GPS trajectory data for assessing the locations of physical activity /
_rSUNGSOON HWANG --
_tchapter 12 Exploring digital technology industry clusters using administrative and frontier data /
_rMAX NATHAN --
_tchapter 13 The integration of Internet data and census data for spatial analysis in a geoportal /
_rBING SHE --
_tchapter 14 Big data, socio-environmental resilience and urban systems planning support /
_rBRIAN DEAL --
_tchapter 15 Big data perspectives: Adoption of a regional environmental information system /
_rANDREA DE MONTIS, SABRINA LAI, NICOLETTA SANNIO AND --
_tpart Part III Big data analytics in regional science --
_tchapter 16 From ‘big data’ to big regions: The geography of the American commute /
_rALASDAIR RAE --
_tchapter 17 Big data, agents and the city /
_rANDREW CROOKS --
_tchapter 18 Damage assessment of the urban environment during disasters using volunteered geographic information /
_rCAROLYNNE HULTQUIST --
_tchapter 19 Integrating big data into a geospatial framework of disaster impact analysis /
_rYURI MANSURY --
_tchapter 20 A big data application of spatial microsimulation for neighborhoods in England and Wales /
_rMICHELLE A. MORRIS --
_tchapter 21 Big data clustering and its applications in regional science /
_rYAZHOU REN --
_tchapter 22 Big data and shrinking cities: How Twitter can help determine urban sentiments /
_rJUSTIN B. HOLLANder --
_tpart Part IV New frontiers of big data in regional science --
_tchapter 23 Big data in emerging cities /
_rPRANAB K. ROY CHOWDHURY, SUSANNA H. SUTHERLAND, KATHLEEN --
_tchapter 24 Recommendations for big data programs at transportation agencies /
_rGREGORY D. ERHARDT --
_tchapter 25 Towards data-driven cities: Incorporating big data into urban management /
_rHOSSEIN ESTIRI --
_tchapter 26 Big data, privacy and the policy process in the United States: In regional economic development /
_rROGER STOUGH --
_tchapter 27 Urban informatics: Defining an emerging field /
_rROBERT GOODSPEED --
_tchapter 28 The constantly shifting face of the digital divide: Implications for big data, urban informatics and regional science /
_rLAURIE A. SCHINTLER.
520 _a"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.
650 0 _aRegional planning
_xStatstical methods.
650 0 _aCity planning
_xStatistical methods.
650 0 _aBig data.
700 1 _aChen, Zhenhua
_c(Writer on public policy),
_eeditor.
700 1 _aSchintler, Laurie A.
_q(Laurie Anne),
_eeditor.
776 0 8 _iPrint version:
_z9781138282186
_w(DLC) 2017015134
856 4 0 _uhttps://www.taylorfrancis.com/books/9781315270838
_zClick here to view.
999 _c129958
_d129958