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BY-NC-ND 3.0 license Open Access Published by De Gruyter Open Access May 29, 2014

Geo-portal as a planning instrument: supporting decision making and fostering market potential of Energy efficiency in buildings

  • Branka Cuca EMAIL logo , Raffaella Brumana , Daniela Oreni , Giuliana Iannaccone and Marta Sesana
From the journal Open Geosciences


Steady technological progress has led to a noticeable advancement in disciplines associated with Earth observation. This has enabled information transition regarding changing scenarios, both natural and urban, to occur in (almost) real time. In particular, the need for integration on a local scale with the wider territorial framework has occurred in analysis and monitoring of built environments over the last few decades. The progress of Geographic Information (GI) science has provided significant advancements when it comes to spatial analysis, while the almost free availability of the internet has ensured a fast and constant exchange of geo-information, even for everyday users’ requirements. Due to its descriptive and semantic nature, geo-spatial information is capable of providing a complete overview of a certain phenomenon and of predicting the implications within the natural, social and economic context. However, in order to integrate geospatial data into decision making processes, it is necessary to provide a specific context, which is well supported by verified data. This paper investigates the potentials of geo-portals as planning instruments developed to share multi-temporal/multi-scale spatial data, responding to specific end-users’ demands in the case of Energy efficiency in Buildings (EeB) across European countries. The case study regards the GeoCluster geo-portal and mapping tool (Project GE2O, FP7), built upon a GeoClustering methodology for mapping of indicators relevant for energy efficiency technologies in the construction sector.

[1] Goodchild M.F., The use cases of digital earth, International Journal of Digital Earth, 2008, 1,1, 31–42 in Google Scholar

[2] Annoni A., Bernard L., Fullerton K., de Groof H., Kanellopoulos I., Millot M., et al., Towards a European spatial data infrastructure: The INSPIRE initiative. In: Proceedings of the 7th international global spatial data infrastructure conference, Bangalore, India, 2004 Search in Google Scholar

[3] Tait M.G., Implementing geoportals: applications of distributed GIS, Computers, Environment and Urban Systems, 2005, 29, 33–47 in Google Scholar

[4] Groot R., McLaughlin J. (Eds.), Geospatial data infrastructure: concepts, cases, and good practice. New York, Oxford University Press, 2000 Search in Google Scholar

[5] FGDC, The 1994 plan for the national spatial data infrastructure3—building the foundation of an information based society. Washington: FGDC 1994 Search in Google Scholar

[6] Rhind R.W., Spatial Data Infrastructure. In: Smelser N.J., Paul B.B. (Eds), International encyclopedia of the social & behavioral sciences, 2001, 14778–14785 in Google Scholar

[7] Maguire D.J., Longley P.A., The emergence of geoportals and their role in spatial data infrastructures, Computers, Environment and Urban Systems, 2005, 29, 3–14 in Google Scholar

[8] De Longueville B., Community-Based Geoportals: The Next Generation? — Concepts and Methods for the Geospatial Web 2.0, Computers Environment and Urban Systems, 2010, 34, 299–308 in Google Scholar

[9] FGDC, Geospatial one-stop: encouraging partnerships to enhance access to geospatial information, Search in Google Scholar

[10] Busby J. R., Kelly P., Australian spatial data infrastructures. In: The proceedings of the 7th international global spatial data infrastructure conference, Bangalore, India, February 2–4, 2004, 10 pages, Search in Google Scholar

[11] Sivakumar R., Rao M., Dasgupta A.R., Perspectives of India national spatial data infrastructure — The Vision Ahead. In: The Proceedings of the 7th international global spatial data infrastructure conference, Bangalore, India, February 2–4, 2004, 18 pages. Search in Google Scholar

[12] Craglia M., Campagna M., Advanced Regional SDI in Europe: Comparative cost-benefit evaluation and impact assessment perspectives, The International Journal of SDI Research, 2010, 5, 145–167 Search in Google Scholar

[13] Cuca B., Brumana R., Scaioni M., Oreni D., Spatial Data Management of Temporal Map Series for Cultural and Environmental Heritage, International Journal of Spatial Data Infrastructure Research (IJSDIR), Selected Articles from INSPIRE 2010, 6, 95–127 Search in Google Scholar

[14] Dalla Costa S., Roccatello E., Rumor M., A CityGML 3D Geodatabase for buildings’ Energy Efficiency, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 38-4/C21, 19–24, doi:10.5194/isprsarchives-XXXVIII-4-C21-19-2011, 2011 in Google Scholar

[15] Cuca B., Sesana M.M., Iannaccone G., Oreni D., Caccavelli D., Integration of the multi-scale heterogeneous data for the deployment of the concept of energy efficiency in buildings within an SDI framework. In: Proceedings of 13th Int. Conf. on Computational Science and Its Applications —ICCSA 2013 B. Murgante et al. (Eds.): ICCSA 2013, Part IV, LNCS 7974, pp. 358–374, 2013 in Google Scholar

[16] Kibria M.S., Zlatanova S., Itard L., Van Dorst M., GeoVEs as tools to communicate in urban projects: requirements for functionality and visualisation, In: Lee J., Zlatanova S. (Eds), 3D geo-information sciences, LNG&C, Springer Verlag, 2009, 379–395. DOI: 10.1007/978-3-540-87395-2_24 in Google Scholar

[17] Oreni D., Brumana R., Cuca B., Towards a Methodology for 3D Content Models. The Reconstruction of Ancient Vaults for Maintenance and Structural Behaviour in the logic of BIM management. In: Guidi G., Addison A.C., Virtual Systems in the Information Society. NJ, USA: IEEE, Milan, Italy, 2–5 September 2012, 475–482 10.1109/VSMM.2012.6365961Search in Google Scholar

[18] Brumana R., Oreni D., Cuca B., Binda L., Condoleo P., Triggiani M., Strategy for integrated surveying techniques finalized to interpretive models in a byzantine church, Mesopotam, Albania, International Journal of Architectural Heritage, in press Search in Google Scholar

[19] Brumana R., Prandi F., Use of 3D GIS to Model Urban environment. In: Volker Coors, Sisi Zlatanovaet al. Urban and Regional Data Management UDMS2007 Annual. LONDON: Taylor and Francis Group, Stuttgart, 2008, 223–230 Search in Google Scholar

[20] Hay G.J., Kyle C., Hemachandran B., Chen G., Rahman M.M., Fung T.S., Arvai J.L., Geospatial Technologies to Improve Urban Energy Efficiency. Remote Sens. 2011, 3, 1380–1405 in Google Scholar

[21] Weng Q., Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends. ISPRS J. Photogramm. Remote Sens. 2009, 64, 335–344 in Google Scholar

[22] Voogt J.A., Oke T.R., Thermal remote sensing of urban climates. Remote Sens. Environ. 2003, 86, 370–384 in Google Scholar

[23] Towards an urban atlas: Assessment of spatial data on 25 European cities and urban areas, Environmental issue report No 30, EEA (European Environment Agency), 2002., last access 10 March 2014 Search in Google Scholar

[24] Website of DG Regional Policy, Last access 10 March 2014 Search in Google Scholar

[25] Song H.J., E-government: lessons learned and challenges ahead. In The 8th international seminar on GIS: envisioning cyber-geospace and spatially enabled e-government, November 20–21, Seoul, Korea, Korea Research Institute for Human Settlements, 2013, 1–13 Search in Google Scholar

Published Online: 2014-5-29
Published in Print: 2014-3-1

© 2014 Versita Warsaw

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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