Atjaunināt sīkdatņu piekrišanu

E-grāmata: Big Data Applications in Geography and Planning: An Essential Companion

Edited by , Edited by , Edited by , Edited by
  • Formāts: PDF+DRM
  • Izdošanas datums: 07-May-2021
  • Izdevniecība: Edward Elgar Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9781789909791
  • Formāts - PDF+DRM
  • Cena: 63,12 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: PDF+DRM
  • Izdošanas datums: 07-May-2021
  • Izdevniecība: Edward Elgar Publishing Ltd
  • Valoda: eng
  • ISBN-13: 9781789909791

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge.

This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge.Contributions from key scholars working in the field bring together an international series of case studies on demography and migration, retail and consumer analytics, health care planning, urban planning and transport studies. Chapters also discuss how data sets leveraged from commercial and public agency sources can greatly improve the data traditionally worked with in academic geography, regional science and planning. While addressing the challenges and limitations of big data, the book also demonstrates the usefulness of data sets held by commercial agencies and explores data linkage between big data and traditional public domain data sources.Focusing on the applications of big data to investigate issues in a spatial context, this book will be an essential guide for scholars and students of planning, mobility and human geography, particularly those who specialise in economic and transport geography. Its use of key case studies to demonstrate the applications of big data analytics in planning will also be useful for planners in these fields.

Recenzijas

This is a very timely book featuring a collection of contributions from some of the worlds leading scholars working in the equivalent of social sciences Wild West - the world of Big Data. This book is indeed an essential companion for anyone wishing to understand the breadth of opportunities and challenges presented by data which lie outside of the traditional official statistics disseminated by governments. It will provide inspiration for those willing to take themselves out of their comfort zone and a glimpse of what is possible.

List of contributors
vii
Acknowledgements x
1 Introduction to Big Data Applications in Geography and Planning
1(7)
Mark Birkin
Graham Clarke
Jonathan Corcoran
Robert Stimson
2 Using social media advertising data to estimate migration trends over time
8(17)
Monica Alexander
3 Estimating household mobility using novel big data
25(18)
Nik Lomax
4 Using linked consumer and administrative data to model demographic changes in London's city fringe
43(9)
Justin van Dijk
Guy Lansley
Paul Longley
5 Combining large linked social service microdata and geospatial data to identify vulnerable populations in New Zealand
52(12)
Lukas Marek
James Greenwell
Matthew Hobbs
John McCarthy
Jesse Wiki
Malcolm Campbell
Simon Kingham
Melanie Tomintz
6 The changing geography of clinical misery in England: lessons in spatio-temporal data analysis
64(15)
Alexis Comber
Chris Brunsdon
Martin Charlton
John Cromby
7 Utilising smartphone data to explore spatial influences on physical activity
79(14)
Francesco Pontin
8 Spatial extent and classification of retail agglomerations
93(14)
Les Dolega
9 Applications of store loyalty card big data in the location planning process
107(14)
Nick Hood
Graham Clarke
Andy Newing
Tim Rains
10 Online content of local interest and how it attracts individuals online
121(23)
Emmanouil Tranos
Christoph Stick
11 Smart cities, big data: an overview
144(25)
Robert Stimson
Chris Pettit
12 Is Sydney a 30-minute city? Big data analytics assisting to bring political rhetoric into practice
169(20)
Simone Leao
Mohammad Hassan
Taha Rashidi
Chris Pettit
13 Data and public participation in national strategic planning
189(17)
Eliahu Stern
Sheizaf Rafaeli
Arza Churchman
14 Goldmine or minefield? The methodological challenges associated with the analysis of the FixMyStreet neighbourhood problems dataset
206(14)
Alasdair Rae
Elvis Nyanzu
15 Big data applications in urban transport research in Chinese cities: an overview
220(25)
Sui Tao
Min Zhang
Jiangyue Wu
16 Unpacking the weather-transit ridership relationship using big data in Brisbane and beyond
245(11)
Ming Wei
Yan Liu
Thomas Sigler
Jonathan Corcoran
17 Spatial microsimulation models for rail travel: a West Yorkshire case study
256(17)
Eusebio Odiari
Mark Birkin
Susan Grant-Muller
Nick Malleson
Index 273
Edited by Mark Birkin, Professor of Spatial Analysis and Policy, School of Geography and Director, Leeds Institute for Data Analytics, University of Leeds, Graham Clarke, School of Geography, University of Leeds, UK, Jonathan Corcoran, School of Earth and Environmental Sciences, University of Queensland and Robert Stimson, Emeritus Professor of Geography, University of Queensland, and Honorary Professorial Fellow of Geography, University of Melbourne, Australia