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Future Internet 2014, 6(4), 612-639; doi:10.3390/fi6040612

From Raw Data to Meaningful Information: A Representational Approach to Cadastral Databases in Relation to Urban Planning

1
Department of Architectural Representation and Visual Analysis I, Universitat Politècnica de Catalunya, 649 Diagonal Av., Barcelona 08028, Spain
2
Department of Architectural Technology I, Universitat Politècnica de Catalunya, 649 Diagonal Av., Barcelona 08028, Spain
3
Architecture Department, La Salle Campus Barcelona, Ramon Llull University, 2 Quatre Camins St., Barcelona 08022, Spain
*
Author to whom correspondence should be addressed.
Received: 15 June 2014 / Revised: 19 September 2014 / Accepted: 15 October 2014 / Published: 24 October 2014
(This article belongs to the Special Issue Semantic Geographic Information System (Semantic GIS))

Abstract

Digesting the data hose that cities are constantly producing is complex; data is usually structured with different criteria, which makes comparative analysis of multiple cities challenging. However, the publicly available data from the Spanish cadaster contains urban information in a documented format with common semantics for the whole territory, which makes these analyses possible. This paper uses the information about the 3D geometry of buildings, their use and their year of construction, stored in cadastral databases, to study the relation between the built environment (what the city is) and the urban plan (what the city wants to become), translating the concepts of the cadastral data into the semantics of the urban plan. Different representation techniques to better understand the city from the pedestrians’ point of view and to communicate this information more effectively are also discussed. View Full-Text
Keywords: 3D GIS; urban planning; representation; cadaster; smart visualization; urban regeneration; semantics translation 3D GIS; urban planning; representation; cadaster; smart visualization; urban regeneration; semantics translation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dalmau, F.V.; Garcia-Almirall, P.; Domínguez, E.R.; Escudero, D.F. From Raw Data to Meaningful Information: A Representational Approach to Cadastral Databases in Relation to Urban Planning. Future Internet 2014, 6, 612-639.

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