作者: Huixia Chai , Sheng Rao , Reibo Wang , Jing Liu , Qi Huang
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摘要: Many environmental variables are frequently used to predict values of soil in locations where they not measured. Digital mapping (DSM) has a long-standing convention describe soils as function climate, organisms, topography, parent material, time and space. It is obvious that terrain, material organisms the prediction properties while space factors rarely used. Time indirect factor for formation development soil. Moreover, it very useful explicit implicit estimates age DSM. However, often difficult obtain factor. In absence data, geomorphologic data commonly related relative age. Consequently, this study adopts types (genesis type geomorphology) surrogate analyzes its effect on To examine idea, we selected Ili region northwestern China area. This paper uses from new digital geomorphology map predictive mapping. For study, Soil-landscape inference model (SoLIM) was based individual representation each sample. applies terrain (topography), (geology) (geomorphologic type) area And independent sample validation method estimate precision results. The result shows use leads considerable significant increase accuracy other words, by genesis due high purity data. means variable, if used, can improve quality Predicted value through proposed approach comes closer real value.