Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9726
Title: Geo-portal as a planning instrument: Supporting decision making and fostering market potential of Energy efficiency in buildings Resea
Authors: Cuca, Branka 
Brumana, Raffaella 
Oreni, Daniela 
Iannaccone, Giuliana 
Sesana, Marta Maria 
Keywords: Energy efficiency in buildings
Geo-clusters
Open-source geo-portal
SDI
Web geospatial services
Issue Date: 1-Jan-2014
Publisher: SpringerOpen
Source: Central European Journal of Geosciences Volume 6, Issue 1, March 2014, Pages 121-130
Abstract: 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.
URI: http://ktisis.cut.ac.cy/handle/10488/9726
ISSN: 20819900
Rights: © Versita sp. z o.o.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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