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Proceedings Paper

A spatial cluster method for prime farmland selection
Author(s): Xinqi Zheng; Weining Xiang; Jinwei Dong; Buqing Zhong
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Paper Abstract

In China, the protection of prime farmland is a national policy of eminent importance. From an analytical perspective, its central mission, designating qualified cultivated land as prime farmland, is a comprehensive multi-attribute ranking problem. The paper first analyzed the shortcomings of the existent methods, and then proposed a spatial clustering method for prime farmland designation. The main processes were as follows: (1) Building of index system of prime farmland delimiting; (2) Evaluation of index weights according to expert knowledge; (3) Partition of study area on account of the accuracy. Data of elliptical regions that was preprocessed was put into model of spatial clustering. (4) The land parcels in same cluster is combined into larger units, ranking the result units by holistic productivity level, and selecting the super units which meet the requirement of prime farmland, finally modulating the result according to the correlated policy. The final result can be acquired. Take Jiyang County, Shandong, as a study area, the research showed that the model of selecting cultivated land into prime farmland by GA-K means spatial clustering can effectively solve the existing problems. The prime farmlands were obviously more concentrative, the isolated land parcel fragments were removed effectively, and spatial gathering level was enhanced remarkably. All that makes it a scientifically sound and practically feasible tool to protect and manage prime farmland, and monitor the prime farmland, and realize the aim of scientific and scale management.

Paper Details

Date Published: 6 August 2007
PDF: 12 pages
Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 67543J (6 August 2007); doi: 10.1117/12.765573
Show Author Affiliations
Xinqi Zheng, China Univ. of Geosciences (China)
Weining Xiang, The Univ. of North Carolina at Charlotte (United States)
Jinwei Dong, Shandong Normal Univ. (China)
Buqing Zhong, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 6754:
Geoinformatics 2007: Geospatial Information Technology and Applications

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