Analysis of evaluation of interpolation models is a hot topic in the DEM interpolation studies. Most studies focused on the interpolation model in the last decades, while ignored the influencing factors between the interpolation models and environments. That is to say, on the one side, different interpolation models influence the accuracy of the analysis result; on the other side, difference environments also influence the accuracy of a certain interpolation model. In order to analysis the applicability of different interpolation methods in different environments, this paper selected test areas under different geomorphic types, and used the AMMI model to analyse the accuracy of the different interpolation models and the applicability of the studied models to different geomorphic types. The experiment results showed that the AMMI model could test the influencing factors between the interpolation models and the environments. Taking the test of this paper as an example, in the Northern Shaanxi region, the ordinary Kriging model is the best choice in the DEM construction. Finally, by analyzing the correlation coefficient between the environment coefficient and several landform parameters, it can be found that the slope gradient could represent the first environment coefficient.
ZHAO Mingwei, TANG Guoan, TIAN Jian
. Uncertainty Analysis of Different DEM Interpolation Methods Based on AMMI Model[J]. Journal of Geo-information Science, 2012
, 14(1)
: 62
-66
.
DOI: 10.3724/SP.J.1047.2012.00062
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