The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-4
https://doi.org/10.5194/isprsarchives-XL-4-363-2014
https://doi.org/10.5194/isprsarchives-XL-4-363-2014
23 Apr 2014
 | 23 Apr 2014

The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example

H. Zhang, Y. Li, B. Liu, and C. Liu

Keywords: Procedural Modeling, 3D GIS, CityEngine, Visibility Analysis, 3D Indoor Modeling, Real Estate Mass Appraisal

Abstract. Based on procedural modeling approach and buildings 2D GIS data of Shenzhen, 3D external models of buildings are generated by CityEngine in a quick and batch mode. And 3D internal model is generated by vectorization of houses distribution within the target building. Following that, the landscape analysis and the sunlight analysis based on GIS visibility analysis method are applied on 3D model of the target building to get the concrete quantization indexes, such as landscape visual range and sunshine duration which could significantly influence real estate value. Finally, the drawing with 3D visualization effect for landscape information and sunshine information is produced. Compared with traditional manual modeling method, the results showed that rule-based 3D modeling method in CityEngine platform could take full advantage of existing GIS data. It could improve the efficiency of 3D modeling by rapidly and automatically generate refined building 3D models in batch mode. Meanwhile, compared with man-made subjective judgment, the building landscape and sunlight analysis model built by visibility analysis could quantify landscape and sunshine indexes more accurately. Furthermore, the application in real estate mass appraisal model for calculation and analysis will reduce the index errors caused by man-made subjective judgment. In addition, precise 3D visualization effect can provide appraisers with more intuitive and efficient view for real estate expression. It greatly improves the efficiency and accuracy in real estate appraisal.