Urban base land value evaluation based on K-means clustering and trend surface analysis

Quan Wang; Wei Wang; Jiankun Hu; Deren Li

doi:10.1117/12.815354

29 December 2008 Urban base land value evaluation based on K-means clustering and trend surface analysis

Quan Wang, Wei Wang, Jiankun Hu, Deren Li

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72855D (2008) https://doi.org/10.1117/12.815354
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

The base land value evaluation plays an important role in urban land value system for a long time. To establish a simple and feasible method to evaluate the urban land value is always the target for scholars. According to the traditional method of base land value evaluation, combining the theory of K-means clustering and trend surface analysis, this paper proposes a new method for base land value evaluation, which fully considers the spatial correlation, inherent similarity and regional continuity of the land value samples. Additionally, in this method, we propose some measurement indices of evaluation results, which are wanting in traditional methods. At last, we evaluate the industry land value in Shanghai with this method for instance.

Citation Download Citation

Quan Wang, Wei Wang, Jiankun Hu, and Deren Li "Urban base land value evaluation based on K-means clustering and trend surface analysis", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72855D (29 December 2008); https://doi.org/10.1117/12.815354

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