Uncertainty Analysis of Different DEM Interpolation Methods Based on AMMI Model

地球信息科学学报 Pub Date : 2012-01-01 DOI:10.3724/sp.j.1047.2012.00062

Tang Guoan

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引用次数: 0

Abstract

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.

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基于AMMI模型的不同DEM插值方法的不确定性分析

插值模型的评价分析是DEM插值研究中的热点问题。近几十年来的研究大多集中在插值模型上，而忽略了插值模型与环境之间的影响因素。也就是说，一方面，不同的插补模型会影响分析结果的准确性，另一方面，不同的环境也会影响某一插补模型的准确性。为了分析不同插值方法在不同环境下的适用性，本文选取了不同地貌类型下的试验区，利用AMMI模型分析了不同插值模型的精度以及所研究模型对不同地貌类型的适用性。实验结果表明，AMMI模型可以测试插值模型与环境之间的影响因素。以本文的检验为例，在陕北地区，普通克里格模型是DEM构建的最佳选择。最后，通过分析环境系数与多个地形参数的相关系数，可以发现坡度可以代表第一环境系数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

地球信息科学学报

CiteScore

2.70

自引率

0.00%

发文量

3757

期刊介绍： Journal of Geo-Information Science is an academic journal under the supervision of Chinese Academy of Sciences, jointly sponsored by Institute of Geographic Sciences and Resources, Chinese Academy of Sciences and Chinese Geographical Society, and also co-sponsored by State Key Laboratory of Resource and Environmental Information System, Key Laboratory of Virtual Geographic Environment of Ministry of Education and Key Laboratory of 3D Information Acquisition and Application of Ministry of Education. Founded in 1996, it is openly circulated in the form of a monthly magazine. Journal of Geoinformation Science focuses on publishing academic papers with geographic system information flow as the main research object, covering research topics such as geographic information cognitive theory, geospatial big data mining, geospatial intelligent analysis, etc., and pays special attention to the innovative results of theoretical methods in geoinformation science. The journal is aimed at scientific researchers, engineers and decision makers in the fields of cartography and GIS, remote sensing science, surveying and mapping science and technology. It is a core journal of China Science Citation Database (CSCD), a core journal of Chinese science and technology, a national Chinese core journal in domestic and international databases, and it is included in international databases, such as EI Compendex, Geobase, and Scopus.