Abstract
This paper further studied the theory of urban land classification based on data field starting from the practice of the urban Land classification work, relying on the basic principles of data field and proposed "the urban land classification methods based on data field". It’s basic idea is: first, determining the type of the classification factors based on the way and space features of their impact on land. Subsequently, determining the approach of anisotropy and overlay of the radius of influence and the range of radiation according to the inherent characteristics of different classification factors. Finally, calculating different types of factors in different calculation method to obtain a total score of these classification units under specific form of role. In this paper pointed out the implementation steps of this method, and successfully proved that the method is practical and scientific by giving an example.
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© 2008 Springer-Verlag Berlin Heidelberg
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Deng, Y., Wang, H., Wang, L., Shan, D. (2008). Urban Land Classification Research Based on Data Field. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_92
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DOI: https://doi.org/10.1007/978-3-540-92137-0_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92136-3
Online ISBN: 978-3-540-92137-0
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