Roberto Henriques

  • Tuesday, 29 July 2014 14:39



Roberto Henriques, Invited assistant Professor,
Doctor in Information Management (Universidade Nova de Lisboa - Portugal)


Telephone: 213828610
Fax: 213828611
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Research Interests

My research interests include geospatial data analysis and decision support systems using artificial intelligence and data mining methods. I am focusing on the application of data mining techniques to study spatial mobility patterns in cities. My research is driven by the vision to combine social network data and urban mobility models to improve tools for collecting, analysing and studying spatial mobility patterns in cities. In a recent past I have studied the possible adaptation of existing general-purpose data mining tools to geospatial data analysis. The characteristics of geospatial datasets seems to be similar in many ways with other aspatial datasets for which several data mining tools have been used with success in the detection of patterns and relations. I have proposed several geospatial applications based on a well-known data mining method, the self-organizing map (SOM), and analyzed the adaptations required in each application to fulfil those objectives and needs. Some of the applications developed included cartographic representation; spatial clustering and knowledge discovery of census data and regional innovation regions and location optimization. More recently I have worked with social networks data (twitter) to collect information about georeferenced structures. Analysing this type of data opens new opportunities for data mining analysis, but creating spatial aware tools will provide better results.

Five Recent Publications

    • 1) Hajek, P., Henriques, R., Hajkovac, V. (2013). Visualising components of regional innovation systems using self-organizing maps—Evidence from European regions. Technological Forecasting and Social Change.).
    • 2) Henriques, R., F. Bacao and V. Lobo (2012). Exploratory geospatial data analysis using the GeoSOM suite. Computers, Environment and Urban Systems 36(3): 218-232.
    • 3) Henriques, R., F. Bação, and V. Lobo (2009). Carto-SOM: cartogram creation using self-organizing maps. International Journal of Geographical Information Science, 23(4): p. 483 - 511.
    • 4) Henriques, R., Victor Lobo and Fernando Bação (2012). Spatial Clustering Using Hierarchical SOM, Applications of Self-Organizing Maps, Dr. Magnus Johnsson (Ed.), ISBN: 978-953-51-0862-7, InTech, DOI: 10.5772/51159.
    • 5) Monteiro, V., Henriques, R, Painho, M., Vaz, E. (2014). Sensing World Heritage: An exploratory study of Twitter as a tool for assessing reputation. The 14th International Conference on Computational Science and Its Applications (ICCSA 2014), June 30 - July 3, Guimaraes, Portugal.
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