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.
Arvustused
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.
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vii | |
Acknowledgements |
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1 Introduction to Big Data Applications in Geography and Planning |
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1 | (7) |
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2 Using social media advertising data to estimate migration trends over time |
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8 | (17) |
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3 Estimating household mobility using novel big data |
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25 | (18) |
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4 Using linked consumer and administrative data to model demographic changes in London's city fringe |
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43 | (9) |
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5 Combining large linked social service microdata and geospatial data to identify vulnerable populations in New Zealand |
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52 | (12) |
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6 The changing geography of clinical misery in England: lessons in spatio-temporal data analysis |
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64 | (15) |
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7 Utilising smartphone data to explore spatial influences on physical activity |
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79 | (14) |
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8 Spatial extent and classification of retail agglomerations |
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93 | (14) |
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9 Applications of store loyalty card big data in the location planning process |
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107 | (14) |
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10 Online content of local interest and how it attracts individuals online |
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121 | (23) |
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11 Smart cities, big data: an overview |
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144 | (25) |
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12 Is Sydney a 30-minute city? Big data analytics assisting to bring political rhetoric into practice |
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169 | (20) |
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13 Data and public participation in national strategic planning |
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189 | (17) |
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14 Goldmine or minefield? The methodological challenges associated with the analysis of the FixMyStreet neighbourhood problems dataset |
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206 | (14) |
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15 Big data applications in urban transport research in Chinese cities: an overview |
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220 | (25) |
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16 Unpacking the weather-transit ridership relationship using big data in Brisbane and beyond |
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245 | (11) |
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17 Spatial microsimulation models for rail travel: a West Yorkshire case study |
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256 | (17) |
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Index |
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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