The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example
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 ana...
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-764af061f83d44d1aecf705efda4d5722020-11-25T00:01:32ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-04-01XL-436336710.5194/isprsarchives-XL-4-363-2014The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the exampleH. Zhang0Y. Li1B. Liu2C. Liu3Center for Assessment and Development of Real Estate, Shenzhen, ChinaCenter for Assessment and Development of Real Estate, Shenzhen, ChinaCenter for Assessment and Development of Real Estate, Shenzhen, ChinaDept. of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaBased 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/363/2014/isprsarchives-XL-4-363-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Zhang Y. Li B. Liu C. Liu |
spellingShingle |
H. Zhang Y. Li B. Liu C. Liu The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
H. Zhang Y. Li B. Liu C. Liu |
author_sort |
H. Zhang |
title |
The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example |
title_short |
The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example |
title_full |
The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example |
title_fullStr |
The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example |
title_full_unstemmed |
The Application of GIS 3D Modeling and Analysis Technology in Real Estate Mass Appraisal – Taking landscape and sunlight factors as the example |
title_sort |
application of gis 3d modeling and analysis technology in real estate mass appraisal – taking landscape and sunlight factors as the example |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2014-04-01 |
description |
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. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/363/2014/isprsarchives-XL-4-363-2014.pdf |
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