Quantification and Visualization of a Heritage Conservation in a Quito Neighbourhood (Ecuador)

  • Taras Agryzkov
  • José Luis Oliver
  • Javier Santacruz
  • Leandro Tortosa
  • José F. VicentEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10334)


This paper focuses on the process of quantification and visualization of a heritage conservation study in a neighbourhood of Quito (Ecuador). The first part of the paper consists of collecting real information about different features of every building in the urban network of the mentioned neighbourhood. The information collected is then quantified by means of a data matrix that allows us to obtain an indicator of the heritage conservation of every parcel studied. In order to better understand the preservation of the neighbourhood, an analysis and visualization of the obtained indicators is carried out. The visualization is based on a non-linear interpolation of the vertices of a grid using a chromatic scale. This type of visualization provides a smooth graphic that helps us to represent areas that are more or less interesting from the point of view of the heritage conservation state.


Data visualization Interpolation Data analysis Heritage conservation 



This work was partially supported by the Spanish Government, Ministerio de Economía y Competividad, grant number TIN2014-53855-P.


  1. 1.
    Achig, L.: El proceso urbano de Quito, pp. 57–72. Flacso, Quito (1983)Google Scholar
  2. 2.
    Agbinya, J.I.: Interpolation using the discrete cosine transform. Electron. Lett. 28(20), 1927–1928 (1992)CrossRefGoogle Scholar
  3. 3.
    Chen, C.H., Hardle, W., Unwin, A.: Handbook of Data Visualization. Springer, Berlin (2008)zbMATHGoogle Scholar
  4. 4.
    Chua, A., Marcheggiani, E., Servillo, L., Vande Moere, A.: FlowSampler: visual analysis of urban flows in geolocated social media data. In: Aiello, L.M., McFarland, D. (eds.) SocInfo 2014. LNCS, vol. 8852, pp. 5–17. Springer, Cham (2015). doi: 10.1007/978-3-319-15168-7_2 Google Scholar
  5. 5.
    Ciuccarelli, C., Lupi, G., Simeone, L.: Visualizing the Data City. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  6. 6.
    Dimitrova, T., Tsois, A., Camossi, E.: Developmenmt of a web-based geographical information system for interactive visualization and analysis of container itineraries. Int. J. Comput. Inf. Technol. 3(1) (2014)Google Scholar
  7. 7.
    Friendly, M., Sigal, M., Harnanansingh, D.: The milestones project: a database for the history of data visualization. In: Visible Numbers: The History of data Visualization. Ashgate Press, London (2012). Chapter 10Google Scholar
  8. 8.
    Garces, K.: La ciudad de Quito y los otros, pp. 226–234. Flacso, Quito (2006)Google Scholar
  9. 9.
    Gehl, J.: Cities for People. Island Press, Washington (2010)Google Scholar
  10. 10.
    Kraak, M.J., Ormeling, F.: Cartography - Visualization of Spatial Data, 3rd edn. Pearson Education, Essex (2010)Google Scholar
  11. 11.
    Oliver, J.L., Agryzkov, T., Tortosa, L., Vicent, J.F., Santacruz, J.: The use of network theory in heritage cities. World Acad. Sci. Eng. Technol. 11, 21–26 (2017)Google Scholar
  12. 12.
    Ponce, A.: La Mariscal. Historia de un barrio modern en Quito en el siglo XX. Instituto Metropolitano de Patrimonio, Quito (2011)Google Scholar
  13. 13.
    Rozenblat, C., Melacon, G.: Methods for Multilevel Analysis and Visualization of Geographical Networks. Springer, Berlin (2013)CrossRefGoogle Scholar
  14. 14.
    Salvador, J.: Historia de Quito, pp. 270–290. Fonsal, Quito (2009)Google Scholar
  15. 15.
    Telea, A.C.: Data Visualization Principles and Practice, 2nd edn. CRC Press, London (2014)Google Scholar
  16. 16.
    Yau, N.: Data Points - Visualization that Means Something, 3rd edn. Wiley, Indiana (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Taras Agryzkov
    • 1
  • José Luis Oliver
    • 2
  • Javier Santacruz
    • 1
  • Leandro Tortosa
    • 1
  • José F. Vicent
    • 1
    Email author
  1. 1.Departamento de Ciencia de la Computación e Inteligencia ArtificialUniversidad de AlicanteAlicanteSpain
  2. 2.Departamento de Expresión Grafica, Composición y ProyectosUniversidad de AlicanteAlicanteSpain

Personalised recommendations