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Part of the book series: SxI - Springer for Innovation / SxI - Springer per l'Innovazione ((SXIINNO,volume 11))

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Abstract

The chapter proposes the use of the Interactive Visualisation Tool (InViTo) as a method for sharing information by using spatial data visualisation, also known as geo-visualisation, applied to support spatial decision making and planning. InViTo is based on the idea that interacting with data can improve the users knowledge process, while visualisation should contribute to increase intuitive perception. Therefore, through the interactive and visual exploration of geo-referenced data, participants to spatial processes are supported to evaluate strategies and objectives for several alternative development options. The visual system works both on two-dimensional and three-dimensional views, so as to better meet users’ skills in interpreting images. InViTo has been used in different applications, with diverse purposes and spatial scopes, showing its effectiveness in creating a common language among the involved actors and enabling discussions on spatial development.

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References

  1. Andrienko G, Andrienko N, Jankowski P, Keim D, Kraak MJ, MacEachren AM, Wrobel S (2007) Geovisual analytics for spatial decision support: Setting the research agenda. Int J Geogr Inf Sci 21(8):839–857

    Article  Google Scholar 

  2. Andrienko G, Andrienko N, Keim D, MacEachren A, Wrobel S (2011) Challenging problems of geospatial visual analytics. J Visual Lang Comput 22(4):251–256

    Article  Google Scholar 

  3. Bottero M, Lami IM, Lombardi P (2008) Analytic network process. La valutazione di scenari di trasformazione urbana e territoriale, Alinea, Firenze

    Google Scholar 

  4. Couclelis H (2005) Where has the future gone? Rethinking the role of integrated land-use models in spatial planning. Environ Plan A 37(8):1353–1371

    Article  Google Scholar 

  5. Dodge M Information maps: tools for document exploration. CASA, working paper series 94, (July 2005)

    Google Scholar 

  6. Heer J, Agrawala M (2008) Design considerations for collaborative visual analytics. Inf Vis 7(1):49–62

    Article  Google Scholar 

  7. Klosterman RE (2012) Simple and complex models. Environ Plan 39(1):1–6

    Article  Google Scholar 

  8. Klosterman RE, Pettit C (2005) Editorial: an update on planning support systems. Environ Plan 32:477–484

    Article  Google Scholar 

  9. MacEachren AM, Cai G, Hardisty F (2003) Geovisualization for knowledge construction and decision-support. In: T.P. University (eds) Retrieved Mar 20, 2013, from GeoVISTA Center. http://www.geovista.psu.edu/publications/2003/MacEachren_CG&A_03.pdf

  10. MacEachren AM, Gahegan M, Pike W, Brewer I, Cai G, Lengerich E, Hardisty F (2004) Geovisualization for knowledge construction and decision-support. Comput Graph Appl 24(1):13–17

    Article  Google Scholar 

  11. Masala E (2011) CoDe24—MobileExhibition—sept 2011—Torino. From YouTube. http://youtu.be/KPwGCId10fo

  12. Masala E (2012a) ETH Dec 13, 2011—Computational Assessment Workshop. Retrieved June 8, 2012, from YouTube. http://youtu.be/PSnu_Ti66VU

  13. Masala E (2012b) ETH Mar 20, 2012—computational assessment workshop. Retrieved June 8, 2012, from YouTube. http://youtu.be/6ghuI0h1YRU

  14. Masala E, Marina O, Pensa S, Stavric M (2012) Interactive visualization in modeling urban development. In: Billen R, Caglioni M, Marina O, Rabino G, San José R (eds) cost action TU0801—3D issues in urban and environmental systems (pp 59–65). Escolapio, Milano

    Google Scholar 

  15. McCormick BH, De Fanti TA, Brown MD (1987) Visualization in scientific computing. Comput Graph 21(6):69

    Google Scholar 

  16. Pensa S (2011) R & Set corridor visualization tool. Retrived Mar 15, 2012 from. http://v-tool.code-24.eu/code24.html

  17. Pensa S, Masala E (2014a) The interactive visualisation tool (InViTo): concepts and usability. In Masala E, Melis G (eds) interactive visualisation tool for brownfield redevelopment—a european experience (Forthcoming). Celid, Torino

    Google Scholar 

  18. Pensa S, Masala E (2014b) InViTo: an interactive visualisation tool to support spatial decision processes. In: Pinto NN (eds) virtual cities and territories (Forthcoming). IGI Global Book

    Google Scholar 

  19. Pensa S, Gagliarducci R, Masala E (2013) Retrieved from InViTo—interactive visualization tool. http://invito.urbanbox.it/

  20. Pensa S, Masala E, Lami IM (2013) Supporting planning processes by the use of dynamic visualisation. In: Geertman S, Toppen F, Stillwell J (eds) Planning support systems for sustainable urban development, vol 195. Springer, Berlin, pp 451–467

    Chapter  Google Scholar 

  21. Pensa S, Masala E, Lami IM, Rosa A (2014) Seeing is knowing: data exploration as a support to planning. Civ Eng Spec Issue 167(CE5), pp 3–8

    Google Scholar 

  22. Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New York

    MATH  Google Scholar 

  23. Saaty TL, Vargas LG (2006) Decision making with the analytic network process. Springer, New York

    MATH  Google Scholar 

  24. te Brömmelstroet MC (2010) Equip the warrior instead of manning the equipment: land use and transport planning support in the Netherlands. J Transp Land Use 3:25–41

    Google Scholar 

  25. Thomas JJ, Cook KA (2005) Illuminating the path: the R&D agenda for visual analytics. IEEE Press

    Google Scholar 

  26. Tufte ER (1990) Envisioning information. Graphics Press, Cheshire

    Google Scholar 

  27. Tufte ER (2001) The visual display of quantitative information. Graphics Press, Cheshire

    Google Scholar 

  28. Vonk G, Geertman S, Schot P (2005) Bottlenecks blocking widespread usage of planning support systems. Environ Plan A 37(5):909–924

    Article  Google Scholar 

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Correspondence to Elena Masala .

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Masala, E., Pensa, S. (2014). Visualisation: An Approach to Knowledge Building. In: Lami, I. (eds) Analytical Decision-Making Methods for Evaluating Sustainable Transport in European Corridors. SxI - Springer for Innovation / SxI - Springer per l'Innovazione, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-04786-7_10

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