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978-3-319-02195-9 |
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DE-He213 |
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20151029231515.0 |
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140217s2014 gw | s |||| 0|eng d |
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|a 9783319021959
|9 978-3-319-02195-9
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|a 10.1007/978-3-319-02195-9
|2 doi
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|a QA76.9.D343
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|a 006.312
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|a Ciuccarelli, Paolo.
|e author.
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|a Visualizing the Data City
|h [electronic resource] :
|b Social Media as a Source of Knowledge for Urban Planning and Management /
|c by Paolo Ciuccarelli, Giorgia Lupi, Luca Simeone.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2014.
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| 300 |
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|a IX, 76 p. 24 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 505 |
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|a Introduction -- We Live in Informational Landscapes -- Depicting the Data City -- Methodological Framework -- Working in the Field -- Reflections on Potentialities and Shortcomings of Geo-Located Social Media Analysis -- List of Case Studies Used for Building the Matrix -- Excerpts from Conversations with Accurat, Lust and Mobivery.
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|a This book investigates novel methods and technologies for the collection, analysis, and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning, and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries, and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
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|a Computer science.
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| 650 |
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|a Data mining.
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| 650 |
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|a Regional planning.
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| 650 |
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|a Urban planning.
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|a Graphic design.
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|a Computer Science.
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|a Data Mining and Knowledge Discovery.
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| 650 |
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|a Landscape/Regional and Urban Planning.
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| 650 |
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|a Graphic Design.
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| 700 |
1 |
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|a Lupi, Giorgia.
|e author.
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| 700 |
1 |
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|a Simeone, Luca.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319021942
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-02195-9
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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