Abstract
High accuracy surface modeling (HASM) is a method which can be applied to soil property interpolation. In this paper, we present a method of HASM combined geographic information for soil property interpolation (HASM-SP) to improve the accuracy. Based on soil types, land use types and parent rocks, HASM-SP was applied to interpolate soil available P, Li, pH, alkali-hydrolyzable N, total K and Cr in a typical red soil hilly region. To evaluate the performance of HASM-SP, we compared its performance with that of ordinary kriging (OK), ordinary kriging combined geographic information (OK-Geo) and stratified kriging (SK). The results showed that the methods combined with geographic information including HASM-SP and OK-Geo obtained a lower estimation bias. HASM-SP also showed less MAEs and RMSEs when it was compared with the other three methods (OK-Geo, OK and SK). Much more details were presented in the HASM-SP maps for soil properties due to the combination of different types of geographic information which gave abrupt boundary for the spatial variation of soil properties. Therefore, HASM-SP can not only reduce prediction errors but also can be accordant with the distribution of geographic information, which make the spatial simulation of soil property more reasonable. HASM-SP has not only enriched the theory of high accuracy surface modeling of soil property, but also provided a scientific method for the application in resource management and environment planning.
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Foundation: National Natural Science Foundation of China, No.41001057; China National Science Fund for Distinguished Young Scholars, No.40825003; Project Supported by State Key Laboratory of Earth Surface Processes and Resource Ecology, No.2011-KF-06
Author: Shi Wenjiao, Ph.D and Assistant Professor, specialized in spatial analysis, geostatistics and GIS.
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Shi, W., Liu, J., Du, Z. et al. Development of a surface modeling method for mapping soil properties. J. Geogr. Sci. 22, 752–760 (2012). https://doi.org/10.1007/s11442-012-0960-z
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DOI: https://doi.org/10.1007/s11442-012-0960-z