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Spatial planning in the big data rev...

Voghera, Angioletta,

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Spatial planning in the big data revolution

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spatial planning in the big data revolution/ Angioletta Voghera and Luigi La Riccia, editors.
其他作者:	Voghera, Angioletta,
出版者:	Hershey, Pennsylvania :IGI Global, : [2019],
面頁冊數:	1 online resource (xxxiv, 359 p.)
內容註:	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.
標題:	Public spaces - Planning -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4
ISBN:	9781522579281 (e-book)

Spatial planning in the big data revolution
Spatial planning in the big data revolution[electronic resource] /Angioletta Voghera and Luigi La Riccia, editors. - Hershey, Pennsylvania :IGI Global,[2019] - 1 online resource (xxxiv, 359 p.)

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.

ISBN: 9781522579281 (e-book)Subjects--Topical Terms:

3395859
Public spaces
--Planning

LC Class. No.: HT185 / .S335 2019e

Dewey Class. No.: 307.1/2160285

Spatial planning in the big data revolution
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300 $a 1 online resource (xxxiv, 359 p.)
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"--Provided by publisher.
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650 0 $a City planning $x Data processing. $3 545650
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700 1 $a Voghera, Angioletta, $e editor. $3 3395857
700 1 $a La Riccia, Luigi, $d 1977- $e editor. $3 3395858
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-7927-4