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Vockner B.,Research Studios Austria Studio iSPACE | Mittlbock M.,Research Studios Austria Studio iSPACE
ISPRS International Journal of Geo-Information | Year: 2014

Geoportals are established to function as main gateways to find, evaluate, and start "using" geographic information. Still, current geoportal implementations face problems in optimizing the discovery process due to semantic heterogeneity issues, which leads to low recall and low precision in performing text-based searches. Therefore, we propose an enhanced semantic discovery approach that supports multilingualism and information domain context. Thus, we present workflow that enriches existing structured metadata with synonyms, toponyms, and translated terms derived from user-defined keywords based on multilingual thesauri and ontologies. To make the results easier and understandable, we also provide automated translation capabilities for the resource metadata to support the user in conceiving the thematic content of the descriptive metadata, even if it has been documented using a language the user is not familiar with. In addition, to text-enable spatial filtering capabilities, we add additional location name keywords to metadata sets. These are based on the existing bounding box and shall tweak discovery scores when performing single text line queries. In order to improve the user's search experience, we tailor faceted search strategies presenting an enhanced query interface for geo-metadata discovery that are transparently leveraging the underlying thesauri and ontologies. © 2014 by the authors. Source


Haslauer E.,University of Salzburg | Haslauer E.,Research Studios Austria Studio iSPACE | Biberacher M.,University of Salzburg | Blaschke T.,University of Salzburg | Blaschke T.,Research Studios Austria Studio iSPACE
Journal of Environmental Planning and Management | Year: 2015

General backcasting as a decision support and planning method starts from desired future states and simulates developments backwards until reaching the present state. Development pathways that reveal steps to be taken to reach a certain future state, and milestones that serve as interim goals, are created during the process. Backcasting has hitherto only been applied in workshops or as a theoretical framework and no spatially explicit backcasting model has previously been established. This paper presents the development of a spatially explicit backcasting model. The proposed model first creates a future scenario utilizing an agent-based model and then simulates backwards. It is implemented using the programming language Python. The model has been applied to a case study for sustainable land-use planning in Salzburg, Austria. The results of the model run show a successful backcasting of land-use classes from a future state back to the present, in 10 year time steps. © 2015 University of Newcastle upon Tyne Source


Hausl S.,Research Studios Austria Studio iSPACE | Hausl S.,TU Munich | Themessl M.,University of Graz | Gadocha S.,Research Studios Austria Studio iSPACE | And 4 more authors.
Thermal Science | Year: 2014

Climate change affects regions differently and therefore also climate change effects on energy systems need to be analysed region specific. The objective of the study presented is to show and analyse these effects on regional energy systems following a high spatial resolution approach. Three regional climate scenarios are downscaled to a 1 km resolution and error corrected for three different testing regions in Austria. These climate data are used to analyse effects of climate change on heating and cooling demand until the year 2050. Potentials of renewable energies such as solar thermal, photovoltaic, ambient heat and biomass are also examined. In the last process step the outcomes of the previous calculations are fed into two energy system models, where energy system optimisations are executed, which provide information concerning optimal setups and operations of future energy systems. Due to changing climate strong changes for the energy demand structure are noticed; lower heat demand in winter (between -7 and -15% until 2050) and - strongly differing between regions - higher cooling demand in summer (up to +355%). Optimisation results show that the composition of energy supply carriers is barely affected by climate change, since other developments such as refurbishment actions, price developments and regional biomass availabilities are more influencing within this context. Source

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