Abstract
In this paper we present an application of GIS and Airborne Light Detection and Ranging (LIDAR) data analysis for computation of buildings visibility, solar exposition and extraction of morphological indicators in the context of urban group analysis and morphogenesis geosimulation. The interdisciplinary project between geomaticians and architects aims to provide a simulation model based upon dynamic computation of building agents’ satisfaction degree, incorporating analysis results using a hybrid approach derived from GIS and raw LIDAR data.
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Carneiro, C., Golay, F., Silva, V., Plazanet, C., Park, JJ. (2009). GIS and LIDAR Data Analysis for the Integration of Multidimensional Indicators on Urban Morphogenesis Multi-agent Vector Based Geosimulation. In: Murgante, B., Borruso, G., Lapucci, A. (eds) Geocomputation and Urban Planning. Studies in Computational Intelligence, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89930-3_11
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DOI: https://doi.org/10.1007/978-3-540-89930-3_11
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