Paper
5 November 2008 The method study of building grid standard land price based on Thiessen polygon interpolation method
Xiaoyan Peng, Lin Li
Author Affiliations +
Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71443A (2008) https://doi.org/10.1117/12.812868
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China
Abstract
Most cities in China have adopted graded land price to represent standard land price so far, while others have employed route price and district price. All of the methods mentioned above only show the average price in a region, which are not easy for the public to understand. The emergence of grid standard land price enhances the publicity, simplifies the process of parcel evaluation and lessens the extent of artificial interference. There are two methods to generate grid standard land price. Firstly, all grid point standard prices are calculated by establishing the relationship between the land price and graded score. This relationship can be obtained through regression analysis of graded results and the sample land price. The second method is DEM-based numerical surface rebuilt technique. It is a 3D grid model established by spatial interpolation among monitoring samples acquired by collecting market exchange price samples and the samples from land price monitoring survey. Considering the characteristic of Guangzhou City, this paper provides a method to generate grid standard land price based on Thiessen polygon interpolation method and compares it with other interpolation methods to prove its effectiveness.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoyan Peng and Lin Li "The method study of building grid standard land price based on Thiessen polygon interpolation method", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71443A (5 November 2008); https://doi.org/10.1117/12.812868
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KEYWORDS
Control systems

3D modeling

Statistical analysis

Tin

Statistical modeling

Data modeling

3D imaging standards

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