The geography of mobility, wellbeing and development in China: understanding transformations through big data
"Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment, and rich mineable web-based sources in the form of social media, web mapping,...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2020
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Schriftenreihe: | Routledge advances in regional economics, science and policy
34 |
Schlagworte: | |
Zusammenfassung: | "Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment, and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density, and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map, and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography"-- |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xxi, 197 Seiten Illustrationen, Diagramme, Karten 25 cm |
ISBN: | 9781138081321 |
Internformat
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245 | 1 | 0 | |a The geography of mobility, wellbeing and development in China |b understanding transformations through big data |c edited by Wenjie Wu and Yiming Wang |
264 | 1 | |a London ; New York |b Routledge, Taylor & Francis Group |c 2020 | |
300 | |a xxi, 197 Seiten |b Illustrationen, Diagramme, Karten |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
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490 | 1 | |a Routledge advances in regional economics, science and policy |v 34 | |
500 | |a Includes bibliographical references and index | ||
520 | 3 | |a "Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment, and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density, and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map, and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography"-- | |
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Wang, Yiming 1959- |
author2_role | edt |
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author_GND | (DE-588)1068652721 (DE-588)1212385381 |
author_facet | Wang, Yiming 1959- |
building | Verbundindex |
bvnumber | BV046706527 |
callnumber-first | H - Social Science |
callnumber-label | HT395 |
callnumber-raw | HT395.C55 |
callnumber-search | HT395.C55 |
callnumber-sort | HT 3395 C55 |
callnumber-subject | HT - Communities, Classes, Races |
classification_rvk | QG 860 RR 69648 |
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dewey-full | 307.1/20951 |
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dewey-ones | 307 - Communities |
dewey-raw | 307.1/20951 |
dewey-search | 307.1/20951 |
dewey-sort | 3307.1 520951 |
dewey-tens | 300 - Social sciences |
discipline | Soziologie Wirtschaftswissenschaften Geographie |
discipline_str_mv | Soziologie Wirtschaftswissenschaften Geographie |
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genre_facet | Aufsatzsammlung |
geographic | China (DE-588)4009937-4 gnd |
geographic_facet | China |
id | DE-604.BV046706527 |
illustrated | Illustrated |
index_date | 2024-07-03T14:30:02Z |
indexdate | 2024-07-10T08:51:39Z |
institution | BVB |
isbn | 9781138081321 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032116988 |
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owner_facet | DE-20 |
physical | xxi, 197 Seiten Illustrationen, Diagramme, Karten 25 cm |
publishDate | 2020 |
publishDateSearch | 2020 |
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publisher | Routledge, Taylor & Francis Group |
record_format | marc |
series | Routledge advances in regional economics, science and policy |
series2 | Routledge advances in regional economics, science and policy |
spelling | The geography of mobility, wellbeing and development in China understanding transformations through big data edited by Wenjie Wu and Yiming Wang London ; New York Routledge, Taylor & Francis Group 2020 xxi, 197 Seiten Illustrationen, Diagramme, Karten 25 cm txt rdacontent n rdamedia nc rdacarrier Routledge advances in regional economics, science and policy 34 Includes bibliographical references and index "Big data is increasingly regarded as a new approach for understanding urban informatics and complex systems. Today, there is unprecedented data availability, with detailed remote-sensed data on the built environment, and rich mineable web-based sources in the form of social media, web mapping, information services and other sources of unstructured "big data". This book brings together a group of international contributors to consider the geographical implications of mobility, wellbeing and development within and across Chinese cities through location-based big data perspectives. The degree of urban sprawl, productive density, and vibrancy can be reflected from location-based social media big data. The challenge is to identify, map, and model these relationships to develop cities at different places in the urban hierarchical system that are more sustainable. This edited book aims to tackle these issues through two inter-related geographical scales: inter-city level and intra-city level. The text is designed for graduate courses in planning, geography, public policy and administration, and for international researchers who are involved in urban and regional economics and economic geography"-- Stadtplanung (DE-588)4056754-0 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf China (DE-588)4009937-4 gnd rswk-swf Regional planning / China / Statistical methods Economic development / China Urbanization / China Migration, Internal / China Big data / China (DE-588)4143413-4 Aufsatzsammlung gnd-content China (DE-588)4009937-4 g Stadtplanung (DE-588)4056754-0 s Geoinformationssystem (DE-588)4261642-6 s Big Data (DE-588)4802620-7 s DE-604 Wu, Wenjie 1985- Sonstige (DE-588)1068652721 oth Wang, Yiming 1959- (DE-588)1212385381 edt Erscheint auch als Online-Ausgabe 978-1-315-11295-4 Routledge advances in regional economics, science and policy 34 (DE-604)BV041201544 34 |
spellingShingle | The geography of mobility, wellbeing and development in China understanding transformations through big data Routledge advances in regional economics, science and policy Stadtplanung (DE-588)4056754-0 gnd Big Data (DE-588)4802620-7 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
subject_GND | (DE-588)4056754-0 (DE-588)4802620-7 (DE-588)4261642-6 (DE-588)4009937-4 (DE-588)4143413-4 |
title | The geography of mobility, wellbeing and development in China understanding transformations through big data |
title_auth | The geography of mobility, wellbeing and development in China understanding transformations through big data |
title_exact_search | The geography of mobility, wellbeing and development in China understanding transformations through big data |
title_exact_search_txtP | The geography of mobility, wellbeing and development in China understanding transformations through big data |
title_full | The geography of mobility, wellbeing and development in China understanding transformations through big data edited by Wenjie Wu and Yiming Wang |
title_fullStr | The geography of mobility, wellbeing and development in China understanding transformations through big data edited by Wenjie Wu and Yiming Wang |
title_full_unstemmed | The geography of mobility, wellbeing and development in China understanding transformations through big data edited by Wenjie Wu and Yiming Wang |
title_short | The geography of mobility, wellbeing and development in China |
title_sort | the geography of mobility wellbeing and development in china understanding transformations through big data |
title_sub | understanding transformations through big data |
topic | Stadtplanung (DE-588)4056754-0 gnd Big Data (DE-588)4802620-7 gnd Geoinformationssystem (DE-588)4261642-6 gnd |
topic_facet | Stadtplanung Big Data Geoinformationssystem China Aufsatzsammlung |
volume_link | (DE-604)BV041201544 |
work_keys_str_mv | AT wuwenjie thegeographyofmobilitywellbeinganddevelopmentinchinaunderstandingtransformationsthroughbigdata AT wangyiming thegeographyofmobilitywellbeinganddevelopmentinchinaunderstandingtransformationsthroughbigdata |