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: | , |
|---|---|
| Dokumenttyp: | Buch/Monographie |
| Sprache: | Englisch |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
[2019]
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| Schriftenreihe: | Advances in environmental engineering and green technologies (AEEGT) book series
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| Volumes / Articles: | Show Volumes / Articles. |
| DOI: | 10.4018/978-1-5225-7927-4 |
| Schlagworte: | |
| Online-Zugang: | Verlag, lizenzpflichtig: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4 Resolving-System, lizenzpflichtig: https://doi.org/10.4018/978-1-5225-7927-4 Aggregator, Inhaltsverzeichnis: http://www.gbv.de/dms/bowker/toc/9781522579274.pdf 
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| Verfasserangaben: | Angioletta Voghera (Politecnico di Torino, Italy), Luigi La Riccia (Politecnico di Torino, Italy), editors |
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| 245 | 0 | 0 | |a Spatial planning in the big data revolution |c Angioletta Voghera (Politecnico di Torino, Italy), Luigi La Riccia (Politecnico di Torino, Italy), editors |
| 264 | 1 | |a Hershey, Pennsylvania |b IGI Global |c [2019] | |
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| 500 | |a Includes bibliographical references and index | ||
| 505 | 8 | |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 | |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"-- | ||
| 650 | 0 | |a Public spaces |x Planning |x Data processing | |
| 650 | 0 | |a City planning |x Data processing | |
| 650 | 0 | |a Geographic information systems | |
| 650 | 0 | |a Big data | |
| 650 | 4 | |a Public spaces ; Planning ; Data processing | |
| 650 | 4 | |a City planning ; Data processing | |
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