Abstract
The paper illustrates the potentials of geospatial information (GI) and related services that can enable structuring, access and sharing information regarding energy efficiency in buildings. This work refers on one side to European initiative that foresees a creation of macro-regions that are defined by their similarities in terms of climate, culture, construction typologies, economy, energy prices and energy policies and on the other side to the INSPIRE Directive that aims to ensure compatibility and usability Spatial Data Infrastructures (SDI) across Europe . The research here illustrated regards a geo-portal and geo-mapping tool that are able to provide new scenarios for retrieving geospatial knowledge regarding energy efficiency of European built environment.
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References
Website of DG Regional Policy, http://ec.europa.eu/regional_policy/index_en.cfm (last access May 7, 2013)
INSPIRE EU Directive 2007/2/EC of the EU Parliament and of the Council, http://eur-lex.europa.eu/JOHtml.do?uri=OJ:L:2007:108:SOM:EN:HTML (last access May 7, 2013)
Payne, R.W., Harding, S.A., Murray, D.A., Soutar, D.M., Baird, D.B., Welham, S.J., Kane, A.F., Gilmour, A.R., Thompson, R.: The Guide to GenStat® Release 11 - Part 2: Statistics. In: Webster, R., Wilson, T. (eds.) VSN International (2007)
Aldenderfer, M.S., Blashfield, R.K.: Cluster Analysis. Sage Press, Beverly Hills (1984)
Mussio, L., Dante, V.: Relational Strategies in Statistical Data Analysis: Mapping, Inferences, Clustering, Topologies, Matching. In: Proceedings of ISPRS, The 5th International Symposium on Mobile Mapping Technology, Padua, Italy (2007)
Jain, A.K.: Pattern Recognition Letters. Elsevier (2010)
Gerstengarbe, F.-W., Werner, P.C., Fraedrich, K.: Applying non-hierarchical cluster analysis algorithms to climate classification: some problems and their solution. Theoretical and Applied Climatology 64, 143–150 (1999)
Brumana, R., Oreni, D., Cuca, B., Rampini, A., Pepe, M.: Open Access to Historical Atlas: Sources of Information and Services for Landscape Analysis in an SDI Framework. International Journal of Agricultural and Environmental Information Systems, IJAEIS Special Issue 3 (in press July 2013)
Brumana, R., Oreni, D., Cuca, B., Rampini, A., Pepe, M.: Open Access to Historical Atlas: Sources of Information and Services for Landscape Analysis in an SDI Framework. In: Murgante, B., Gervasi, O., Misra, S., Nedjah, N., Rocha, A.M.A.C., Taniar, D., Apduhan, B.O. (eds.) ICCSA 2012, Part II. LNCS, vol. 7334, pp. 397–413. Springer, Heidelberg (2012)
Cuca, B., Oreni, D., Brumana, R.: Digital Cartographic Heritage in Service to the Society: Landscape Analysis for Informed Decision Making. In: Guidi, G., Addison, A.C. (eds.) Virtual Systems in the Information Society, NJ, USA, pp. 499–506 (2012)
Prandi, F., Brumana, R.: Semi-automatic Objects Recognition Process Based on Fuzzy Logic. In: Sithamparanathan, K., Marchese, M., Ruggieri, M., Bisio, I. (eds.) Psats 2010. LNICST, vol. 43, pp. 343–353. Springer, Heidelberg (2010)
Remondino, F., Rizzi, A., Barazzetti, L., Scaioni, M., Fassi, F., Brumana, R., Pelagotti, A.: Review of geometric and radiometric analyses of paintings. The Photogrammetric Record 26, 439–461 (2011)
Barazzetti L., Remondino F., Scaioni M., Brumana R: Fully Automatic UAV Image-Based Sensor Orientation. In Proceedings of ISPRS Comm. I, Calgary, Canada (2010)
Delić, M.: Geoclustering As A Multivariate Analysis Task, International Scientific Days 2006. Competitiveness in the EU – Challenge for the V4 Countries (2006)
Beauvais, G.P., et al.: Element Distribution Modeling: A Primer. Natureserve, Arlington (2006)
Copus, A., et al.: EDORA - European Development Opportunities for Rural Areas Applied Research 2013/1/2, Final Report, ESPON & UHI Millennium Institute (2011), http://www.espon.eu/export/sites/default/Documents/Projects/AppliedResearch/EDORA/EDORA_Final_Report_Parts_A_and_B-maps_corrected_06-02-2012.pdf
Gosink, L., et al.: Variable interactions in query-driven visualization. IEEE Transactions on Visualization and Computer Graphics 13(6), 1400–1407 (2007)
Eggermont, J.J.: Neural interaction in cat primary auditory cortex. Dependence on recording depth, electrode separation and age. J. of Neurophysiology 68, 1216–1228 (1992)
Tomita, M., Eggermont, J.J.: Cross-correlation and joint spectro-temporal receptive field properties in auditory cortex. J. of Neurophysiology 93, 378–392 (2005)
OpenGIS Web Map Server Implementation Specification. Open Geospatial Consortium Inc. (2006), http://www.opengeospatial.org/standards/wms (last access March 15, 2013)
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. (eds.) IEEE Virtual Systems in the Information Society, NJ, USA, pp. 475–482 (2012)
Oreni, D., Cuca, B., Brumana, R.: Three-dimensional virtual models for better comprehension of architectural heritage construction techniques and its maintenance over time. In: Ioannides, M., Fritsch, D., Leissner, J., Davies, R., Remondino, F., Caffo, R. (eds.) EuroMed 2012. LNCS, vol. 7616, pp. 533–542. Springer, Heidelberg (2012)
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. Int. Journal of Architectural Heritage (in press, 2013)
Brumana, R.: Sant’Ambrogio’s Basilica in Milan. A study on photogrammetric surveys in the S. Vittore in Ciel d’Oro’s dome. In: Proceedings of SPIE - The International Society for Optical Engineering, vol. 1395, pt. 2, pp. 908–915 (1990)
Brumana, R., Crippa, B., Vassena, G.: Analytical treatment and description of the altimetric check of the St. Marcus’ Basilica in Venice. In: Proceedings of SPIE, The International Society for Optical Engineering, vol. 1395, pp. 166–173 (1990)
European Environmental Agency, http://www.eea.europa.eu/ (last access March 15, 2013)
Brumana, R., Prandi, F.: Use of 3D GIS to Model Urban environment. In: Zlatanova, S., et al. (eds.) Proceedings of Urban and Regional Data Management, UDMS 2007, Volker Coors, pp. 223–230. Taylor and Francis Group, London (2008)
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Cuca, B., Sesana, M.M., Iannaccone, G., Oreni, D., Caccavelli, D. (2013). Integration of the Multi-scale Heterogeneous Data for the Deployment of the Concept of Energy Efficiency in Buildings within an SDI Framework. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39649-6_26
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DOI: https://doi.org/10.1007/978-3-642-39649-6_26
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