3D semiotics; 3D visualisation; 3D cartography; 3D visualisation rules; static visual variables; 3D environment parameters; urban visualisation
Abstract :
[en] This paper deals with the establishment of a comprehensive methodological framework that defines 3D visualisation rules and its application in a decision support tool. Whilst the use of 3D models grows in many application fields, their visualisation remains challenging from the point of view of mapping and rendering aspects to be applied to suitability support the decision making process. Indeed, there exists a great number of 3D visualisation techniques but as far as we know, a decision support tool that facilitates the production of an efficient 3D visualisation is still missing. This is why a comprehensive methodological framework is proposed in order to build decision tables for specific data, tasks and contexts. Based on the second-order logic formalism, we define a set of functions and propositions among and between two collections of entities: on one hand static retinal variables (hue, size, shape…) and 3D environment parameters (directional lighting, shadow, haze…) and on the other hand their effect(s) regarding specific visual tasks. It enables to define 3D visualisation rules according to four categories: consequence, compatibility, potential incompatibility and incompatibility. In this paper, the application of the methodological framework is demonstrated for an urban visualisation at high density considering a specific set of entities. On the basis of our analysis and the results of many studies conducted in the 3D semiotics, which refers to the study of symbols and how they relay information, the truth values of propositions are determined. 3D visualisation rules are then extracted for the considered context and set of entities and are presented into a decision table with a colour coding. Finally, the decision table is implemented into a plugin developed with three.js, a cross-browser JavaScript library. The plugin consists of a sidebar and warning windows that help the designer in the use of a set of static retinal variables and 3D environment parameters.
Agugiaro, G. (2016) Energy planning tools and CityGML-based 3D virtual city models: experiences from Trento (Italy). Applied Geomatics, 8, 41-56.
Attia, S. & A. Ana Muresan. 2015. Romanian Standards for Energy Performance in Buildings Translation of the Romanian Standards for Energy Performance in Buildings. Sustainable Buildings Design Lab.
Bahu, J.-M., A. Koch, E. Kremers & S. M. Murshed (2014) Towards a 3D spatial urban energy modelling approach. International Journal of 3-D Information Modeling (IJ3DIM), 3, 1-16.
Biljecki, F., J. Stoter, H. Ledoux, S. Zlatanova & A. Çöltekin (2015) Applications of 3D city models: state of the art review. ISPRS International Journal of Geo-Information, 4, 2842-2889.
Chalal, M. L., M. Benachir, M. White & R. Shrahily (2016) Energy planning and forecasting approaches for supporting physical improvement strategies in the building sector: A review. Renewable and Sustainable Energy Reviews, 64, 761-776.
Corrado, V. & E. Fabrizio (2007) Assessment of building cooling energy need through a quasi-steady state model: Simplified correlation for gain-loss mismatch. Energy and Buildings, 39, 569-579.
Eicker, U., R. Nouvel, C. Schulte, J. Schumacher & V. Coors. 2012. 3D Stadtmodelle für die Wärmebedarfberechnung. In Fourth German-Austrian IBPSA Conference. Berlin.
ISO. 2008. Energy performance of buildings-Calculation of energy use for space heating and cooling. In ISO 13970:2008, 162. Geneva, Switzerland: ISO/TC 163/SC 2 Calculation methods.
Kim, Y.-J., S.-H. Yoon & C.-S. Park (2013) Stochastic comparison between simplified energy calculation and dynamic simulation. Energy and Buildings, 64, 332-342.
Koch, E. A. 2016. Continuous Simulation for Urban Energy Planning Based on a Non-Linear Data-Driven Modelling Approach. In Fakultät für Architektur, Fachgebiet Bauphysik & Technischer Ausbau. Karlsruher Instituts für Technologie.
Kokogiannakis, G., P. Strachan & J. Clarke (2008) Comparison of the simplified methods of the ISO 13790 standard and detailed modelling programs in a regulatory context. Journal of Building Performance Simulation, 1, 209-219.
Kristensen, M. H. & S. Petersen (2016) Choosing the appropriate sensitivity analysis method for building energy model-based investigations. Energy and Buildings, 130, 166-176.
Kwak, H.-J., J.-H. Jo & S.-J. Suh (2015) Evaluation of the Reference Numerical Parameters of the Monthly Method in ISO 13790 Considering S/V Ratio. Sustainability, 7, 767-781.
Mendes, G., C. Ioakimidis & P. Ferrão (2011) On the planning and analysis of Integrated Community Energy Systems: A review and survey of available tools. Renewable and Sustainable Energy Reviews, 15, 4836-4854.
Nouvel, R., A. Mastrucci, U. Leopold, O. Baume, V. Coors & U. Eicker (2015) Combining GIS-based statistical and engineering urban heat consumption models: Towards a new framework for multi-scale policy support. Energy and Buildings, 107, 204-212.
Nouvel, R., C. Schulte, U. Eicker, D. Pietruschka & V. Coors. 2013. CityGML-based 3D city model for energy diagnostics and urban energy policy supports. In 13th Conference of International Building Performance Simulation Association. Chambéry, France.
OGC. 2012. OGC City Geography Markup Language (CityGML) Encoding Standard 2.0.0. Open Geospatial Consortium.
Reinhart, C. F. & C. C. Davila (2016) Urban building energy modeling-A review of a nascent field. Building and Environment, 97, 196-202.
Sirén, K. & A. Hasan. 2007. Comparison of two calculation methods used to estimate cooling energy demand and indoor summer temperatures. In Clima 2007 WellBeing Indoors.
Swan, L. G. & V. I. Ugursal (2009) Modeling of end-use energy consumption in the residential sector: A review of modeling techniques. Renewable and sustainable energy reviews, 13, 1819-1835.
Vartieres, A., A. Berescu & A. Damian. 2013. Energy demand for cooling an office building. In 11th International Conference on Environment, Ecosystems and Development, 132-135.
Vollaro, R. D. L., C. Guattari, L. Evangelisti, G. Battista, E. Carnielo & P. Gori (2014) Building energy performance analysis: A case study. Energy and Buildings, 87, 87-94.
Zangheri, P., R. Armani, M. Pietrobon, L. Pagliano, M. F. Boneta & A. Müller. 2014. Heating and cooling energy demand and loads for building types in different countries of the EU. Report in the frame of the EU project ENTRANZE.
Halik, L., 2012. The Analysis of Visual Variables for Use in the Cartographic Design of Point Symbols for Mobile Augmented Reality Applications. In Geodesy and Cartography 61(1), pp. 19-30.
Jobst, M., Kyprianidis, J.E., & Döllner, J., 2008. Mechanisms on Graphical Core Variables in the Design of Cartographic 3D City Presentations. A. Moore, I. Drecki (Eds.), Geospatial Vision, Lecture Notes in Geoinformation and Cartography, Springer-Verlag, pp. 45-59.
MacEachren, A.M., Robinson, A., Hopper, S., Gardner, S., Murray, R., Gahegan, M. & Hetzler, E., 2005. Visualizing Geospatial Information Uncertainty: What We Know and What We Need to Know. Cartography and Geographic Information Science, 32(3), pp. 139-160.
Métral, C., Ghoula, N., Silva, V. & Falquet, G., 2014. A Repository of Information Visualization Techniques to Support the Design of 3D Virtual City Models. U. Isikdag (Ed.), Innovations in 3D Geo-Information Sciences, Lecture Notes in Geoinformation and Cartography, Springer, pp. 175-194.
Pouliot, J., Wang, C., Fuchs, V., Hubert, F. & Bédard, M., 2013. Experiments with Notaries about the Semiology of 3D Cadastral Models. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Istanbul, Turkey, Vol. XL-2/W2, p53-57.
Pouliot, J., Wang, C. & Hubert, F., 2014a. Transparency Performance in the 3D Visualization of Bounding Legal and Physical Objects: Preliminary Results of a Survey. In the Proceedings of the 4th International Workshop on 3D Cadastres, Dubai, pp. 173-182.
Pouliot, J., Wang, C., Hubert, F. & Fuchs, V., 2014b. Empirical Assessment of the Suitability of Visual Variables to Achieve Notarial Tasks Established from 3D Condominium Models. U. Isikdag (Ed.), Innovations in 3D Geo-Information Sciences, Lecture Notes in Geoinformation and Cartography, Springer International Publishing Switzerland, pp. 195-210.
Rautenbach, V., Coetzee, S., Schiewe, J. & Çöltekin, A., 2015. An Assessment of Visual Variables for the Cartographic Design of 3D Informal Settlement Models. In the Proceedings of the ICC 215, Rio de Janeiro, Brazil.
Semmo, A., Trapp, M., Jobst, M. & Döllner, J., 2015. Cartography-Oriented Design of 3D Geospatial Information Visualization-Overview and Techniques. The Cartographic Journal 52, no. 2: 95-106.
Slocum, T. A., McMaster, R.B., Kessler, F.C & Howard, H.H., 2010. Thematic Cartography and Geovisualization (Third Edition), Pearson Education LTD, London.
Wang, C., Pouliot, J. & Hubert, F., 2012. Visualization Principles in 3D Cadastre: A First Assessment of Visual Variables. In the Proceedings of the 3rd International Workshop on 3D Cadastres, Shenzhen, pp. 309-324.
Ware, C., 2012. Information Visualization Perception for Design, Elsevier Science, Burlington.