CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

id caadria2013_220
authors Chaszar, André and José Nuno Beirão
year 2013
title Feature Recognition and Clustering for Urban Modelling – Exploration and Analysis in GIS and CAD
source Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 601-610
summary In urban planning exploration and analysis assist the generation, measurement, interpretation and management of the modelled urban environments. This frequently involves categorisation of model elements and identification of element types. Such designation of elements can be achieved through attribution (e.g. ‘tagging’ or ‘layering’) or direct selection by model users. However, for large, complex models the number and arrangement of elements makes these approaches impractical in terms of time/effort and accuracy. This is particularly true of models which include substantial numbers of elements representing existing urban fabric, rather than only newly generated elements (which might be automatically attributed during the generation process). We present methods for identification and categorisation of model elements in models of existing and proposed urban agglomerations. We also suggest how these methods can enable exploration of models, discovery of identities and relationships not otherwise obvious, and acquisition of insights to the models’ structure and contents which are not captured, and may even be obscured, by manual selection or automated pre-attribution.  
wos WOS:000351496100059
keywords City information modelling, Data mining, Feature recognition, Geometric-content-based-search, Urban typologies 
series CAADRIA
email ccaatt@gmail.com
full text file.pdf (1,159,922 bytes)
references Content-type: text/plain
details citation check to select
100%; open Agrawal, R.; Gehrke, J.; Gunopulos, D.; Raghavan, P. (1998) Find in CUMINCAD Automatic subspace clustering of high dimensional data for data mining applications , Proc. ACM SIGMOD, 94–105
100%; open Beirão, J., Duarte, J., Stouffs, R. (2009) Find in CUMINCAD An urban grammar for Praia , Proc. eCAADe, 575–584
100%; open Bowker, G.C. and Star, S.L. (1999) Find in CUMINCAD Sorting things out: Classification and its consequences , MIT Press, Cambridge, MA
100%; open Branch, M. (1985) Find in CUMINCAD Comprehensive city planning: introduction & explanation , Planners Press, Chicago
100%; open Chaszar, A. (2011a) Find in CUMINCAD Navigating complex models in Collaborative work for integrated (and sustainable) design , Proceedings CAADFutures, Liege
100%; open Chaszar, A. (2011b) Find in CUMINCAD Spatial query and object recognition to support 3D digital building model use , Proceedings EG-ICE, Twente
100%; open Egenhofer, M.J. (1994) Find in CUMINCAD Spatial SQL: a query and presentation language , IEEE Transactions on knowledge and data engineering, 6(1), 86–95
100%; open Gil, J., Beirão, J.N., Montenegro, N., and Duarte, J.P. (2012) Find in CUMINCAD On the discovery of urban typologies: Data mining the multi-dimensional morphology of urban areas , in Urban Morphology, 16(1), 27–40
100%; open Habraken, N.J. (2000) Find in CUMINCAD The Structure of the Ordinary , MIT Press, Cambridge, MA
100%; open Hatchuel, A. (2002) Find in CUMINCAD Towards design theory and expandable rationality , Journal of Management and Governance, 5(3-4), 260–273
100%; open Lynch, K. (1960) Find in CUMINCAD The image of the city , MIT Press, Cambridge, MA
100%; open Tangelder, J. and Veltkamp, R. (2008) Find in CUMINCAD A survey of content based 3D shape retrieval methods , Multimedia Tools and Applications, 39(3), 441–471
100%; open Witten, I. H, and E. Frank. (2005) Find in CUMINCAD Data Mining: Practical Machine Learning Tools and Techniques , Morgan Kaufmann

last changed 2016/05/16 09:08
HOMELOGIN (you are user _anon_242348 from group guest) Works Powered by SciX Open Publishing Services 1.002