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010   $a3-319-02195-8
024 7 $a10.1007/978-3-319-02195-9
035   $a(CKB)3710000000089107
035   $a(EBL)1698111
035   $a(OCoLC)871174795
035   $a(SSID)ssj0001186575
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035   $a(PQKBTitleCode)TC0001186575
035   $a(PQKBWorkID)11218864
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035   $a(MiAaPQ)EBC1698111
035   $a(DE-He213)978-3-319-02195-9
035   $a(PPN)176748563
035   $a(EXLCZ)993710000000089107
100   $a20140217d2014      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aVisualizing the Data City $eSocial Media as a Source of Knowledge for Urban Planning and Management /$fby Paolo Ciuccarelli, Giorgia Lupi, Luca Simeone
205   $a1st ed. 2014.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014.
215   $a1 online resource (79 p.)
225 1 $aPoliMI SpringerBriefs,$x2282-2577
300   $aDescription based upon print version of record.
311   $a3-319-02194-X 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- 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.
330   $aThis book investigates novel methods and technologies for the collection, analysis, and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for more participatory design, planning, and management processes. For this purpose, the authors present a set of experiments conducted in collaboration with urban stakeholders at various levels (including citizens, city administrators, urban planners, local industries, and NGOs) in Milan and New York in 2012. It is examined whether geo-tagged and user-generated content can be of value in the creation of meaningful, real-time indicators of urban quality, as it is perceived and communicated by the citizens. The meanings that people attach to places are also explored to discover what such an urban semantic layer looks like and how it unfolds over time. As a conclusion, recommendations are proposed for the exploitation of user-generated content in order to answer hitherto unsolved urban questions. Readers will find in this book a fascinating exploration of techniques for mining the social web that can be applied to procure user-generated content as a means of investigating urban dynamics.
410  0$aPoliMI SpringerBriefs,$x2282-2577
606   $aData mining
606   $aRegional planning
606   $aUrban planning
606   $aGraphic design
606   $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030
606   $aLandscape/Regional and Urban Planning$3https://scigraph.springernature.com/ontologies/product-market-codes/J15000
606   $aGraphic Design$3https://scigraph.springernature.com/ontologies/product-market-codes/K19010
615  0$aData mining.
615  0$aRegional planning.
615  0$aUrban planning.
615  0$aGraphic design.
615 14$aData Mining and Knowledge Discovery.
615 24$aLandscape/Regional and Urban Planning.
615 24$aGraphic Design.
676   $a711.40285
700   $aCiuccarelli$b Paolo$4aut$4http://id.loc.gov/vocabulary/relators/aut$0989093
702   $aLupi$b Giorgia$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aSimeone$b Luca$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299045103321
996   $aVisualizing the Data City$92262042
997   $aUNINA