Program > Introduction to computed visibilities and Conceptual foundationsLinking landscape perception and planning regulationby Claudia Cassatella (Politecnico di Torino, Italy) The protection of landscape scenery dates back more than a century in Western Countries. The control of view cones is the most common tool. While the methods for analysing and assessing the views have been continuously improved, the related regulatory measures are still quite rough. A review of examples from Europe, US and Asia gives arguments for discussing the relation among visibility analysis and its actual use in the spatial planning field. The aim of this lecture is to critically discuss limits and potential of visibility analysis, when related to public policies, such as urban planning or heritage preservation. The ever-growing possibility of controlling spatial features and of foreseeing spatial transformations can improve decision making processes. Nevertheless, existing techniques are often expert-based, as a consequence, participatory approaches must be introduced for ensuring a better representation of people’s perception. Some examples will be proposed, and an open discussion will be structured for stimulating ideas. Course plan
Title (coming soon)By Jacques Teller (University of Liège, Belgium) Themes for the lectures
Introduction to 3D modelingBy Mickaël Brasebin (IGN, LaSTIG/COGIT) During this thematic school, different methods based on computer analysis. In order to perform such methods, 3D digital city models are essential. Lots of different processes exist to produce such 3D city models. They are stored into different formats and different levels of quality. Thus, territories are generally not covered homogeneously by one type of very detailed 3D data and practitioners have to adapt their methods according to the availability of 3D in order to suit with the targeted analysis. The aim of this course is to present an introduction about the 3D city model and to offer a discussion about the influence of data quality on visual analysis.
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