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A COMPARATIVE STUDY OF THE DATA INTEGRATION METHODS FOR GEOCHEMICAL AND CULTIVATED LAND QUALITY INVESTIGATION |
SANG Ling-ling1,2, GAO Ge3, YUN Wen-ju2,4,5, ZHU De-hai4,5 |
1. College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China; 2. Land Consolidation and Rehabilitation Center, Ministry of Land and Resources, Beijing 100035, China; 3. Shaanxi Institute of Surveying and Mapping of Land, Xi'an 710054, China; 4. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China; 5. Key Laboratory of Land Quality, Ministry of Land and Resources, Beijing 100035, China |
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Abstract Land quality geochemical assessment and cultivated land quality evaluation constitute the basic work of the land resources quality investigation and evaluation. Integration research on the two results is an inevitable trend between the current data sharing and cross-disciplinary data integration. In this paper, from data independence, results practicability and scientificity, the two results were combined by simple superposition method, comprehensive method or factor method. With Qianguo County in Jinlin Province as a case study area, the authors investigated the advantages and disadvantage of the integration results. The results show that different integration methods had different advantages and disadvantages: the simple superposition method based on data of two results could maintain their respective independence; the comprehensive method based on the results is easy to express, but with too much emphasis placed on experience; the factor method based on two survey data can clearly express the physical meaning, but with insufficient theoretical support.
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Received: 15 November 2013
Published: 10 April 2014
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