Spatial planning in the big data revolution:
"This book explores in a systematic way the themes of big data and the spatial analysis, with theoretical and operative recommendations for urban planning. It also brings together different work methodologies that combine the potential of large data analysis with GIS applications in dedicated t...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2019]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book explores in a systematic way the themes of big data and the spatial analysis, with theoretical and operative recommendations for urban planning. It also brings together different work methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for sectoral, territorial, environmental, transport, energy, real estate and landscape assessment"-- |
| Beschreibung: | 27 PDFs (359 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522579281 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 0 | 0 | |a Spatial planning in the big data revolution |c Angioletta Voghera and Luigi La Riccia, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2019] | |
| 300 | |a 27 PDFs (359 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book explores in a systematic way the themes of big data and the spatial analysis, with theoretical and operative recommendations for urban planning. It also brings together different work methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for sectoral, territorial, environmental, transport, energy, real estate and landscape assessment"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 02/23/2019). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a City planning |x Data processing. | |
| 650 | 0 | |a Geographic information systems. | |
| 650 | 0 | |a Public spaces |x Planning |x Data processing. | |
| 700 | 1 | |a La Riccia, Luigi |d 1977- |e editor. | |
| 700 | 1 | |a Voghera, Angioletta, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2018041832 | |
| 776 | 0 | 8 | |i Print version: |z 1522579273 |z 9781522579274 |w (DLC) 2018041832 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| contents | Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach. |
| ctrlnum | (CaBNVSL)slc20651952 (OCoLC)1088423577 |
| dewey-full | 307.1/2160285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 307 - Communities |
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| isbn | 9781522579281 |
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| spelling | Spatial planning in the big data revolution Angioletta Voghera and Luigi La Riccia, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2019] 27 PDFs (359 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach. Restricted to subscribers or individual electronic text purchasers. "This book explores in a systematic way the themes of big data and the spatial analysis, with theoretical and operative recommendations for urban planning. It also brings together different work methodologies that combine the potential of large data analysis with GIS applications in dedicated tools specifically for sectoral, territorial, environmental, transport, energy, real estate and landscape assessment"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/23/2019). Big data. City planning Data processing. Geographic information systems. Public spaces Planning Data processing. La Riccia, Luigi 1977- editor. Voghera, Angioletta, editor. IGI Global, publisher. (Original) (DLC)2018041832 Print version: 1522579273 9781522579274 (DLC) 2018041832 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4 Volltext |
| spellingShingle | Spatial planning in the big data revolution Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach. Big data. City planning Data processing. Geographic information systems. Public spaces Planning Data processing. |
| title | Spatial planning in the big data revolution |
| title_auth | Spatial planning in the big data revolution |
| title_exact_search | Spatial planning in the big data revolution |
| title_full | Spatial planning in the big data revolution Angioletta Voghera and Luigi La Riccia, editors. |
| title_fullStr | Spatial planning in the big data revolution Angioletta Voghera and Luigi La Riccia, editors. |
| title_full_unstemmed | Spatial planning in the big data revolution Angioletta Voghera and Luigi La Riccia, editors. |
| title_short | Spatial planning in the big data revolution |
| title_sort | spatial planning in the big data revolution |
| topic | Big data. City planning Data processing. Geographic information systems. Public spaces Planning Data processing. |
| topic_facet | Big data. City planning Data processing. Geographic information systems. Public spaces Planning Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4 |
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