Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 361-365, 2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
12 Sep 2017
S. Emamgholian1, M. Taleai1, and D. Shojaei2 1Dept. of GIS, Faculty of Geodesy and Geomatics Engineering, K. N. Toosi University of Technology, Tehran, Iran
2Centre for SDIs and Land Administration, Dept. of Infrastructure Engineering, The University of Melbourne, Victoria, 3010, Australia
Keywords: 3D GIS, Neighbourhood, Analysis, Indoor Modelling, Buffer, BIM Abstract. Population growth and lack of land in urban areas have caused massive developments such as high rises and underground infrastructures. Land authorities in the international context recognizes 3D cadastres as a solution to efficiently manage these developments in complex cities. Although a 2D cadastre does not efficiently register these developments, it is currently being used in many jurisdictions for registering land and property information. Limitations in analysis and presentation are considered as examples of such limitations.

3D neighbourhood analysis by automatically finding 3D spaces has become an issue of major interest in recent years. Whereas the neighbourhood analysis has been in the focus of research, the idea of 3D neighbourhood analysis has rarely been addressed in 3 dimensional information systems (3D GIS) analysis.

In this paper, a novel approach for 3D neighbourhood analysis has been proposed by recording spatial and descriptive information of the apartment units and easements. This approach uses the coordinates of the subject apartment unit to find the neighbour spaces. By considering a buffer around the edges of the unit, neighbour spaces are accurately detected. This method was implemented in ESRI ArcScene and three case studies were defined to test the efficiency of this approach. The results show that spaces are accurately detected in various complex scenarios. This approach can also be applied for other applications such as property management and disaster management in order to find the affected apartments around a defined space.

Conference paper (PDF, 1689 KB)

Citation: Emamgholian, S., Taleai, M., and Shojaei, D.: A NOVEL APPROACH FOR 3D NEIGHBOURHOOD ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 361-365,, 2017.

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