Sensitivity Analysis of Soil Property Parameter in Typical-sample-based Prediction Model of Digital Soil Mapping

  • 1. School of Geography, Beijing Normal University, Beijing 100875, China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2010-09-29

  Revised date: 2010-12-24

  Online published: 1997-12-20


Although the typical-sample-based prediction models of the spatial distribution of soil property are promising in digital soil mapping,the sensitivity analysis of the soil property parameter in these models is still lack.This paper presents an attempt to establish weighed average model on a fuzzy slope position based on typical samples for digital soil mapping.The soil samples of A-horizon soil organic matter were collected in a low-relief small watershed in Northeast China.A "factorial design" method was applied to simulating scenarios of modeling point set.The performances of the model under different scenarios were analyzed with box plot.Further,we designed an MR index,which was calculated from the median and the range of the prediction error,for parameter sensitivity analysis based on the prediction performance of model.Both MR index and existing sensitivity index were used in this study.The result shows that the weighed average model is sensitive to the soil property parameter.The sensitivity degree is related to the locations of typical soil sample.The method proposed in this paper is also available for the parameter sensitivity analysis of other typical-sample-based prediction models of digital soil mapping.

Cite this article

LU Yan-jun, QIN Cheng-zhi, QIU Wei-li, ZHU A-xing . Sensitivity Analysis of Soil Property Parameter in Typical-sample-based Prediction Model of Digital Soil Mapping[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(12) : 1549 -1554 . DOI: 10.13249/j.cnki.sgs.2011.012.1549


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