Influence of legacy soil map accuracy on soil map updating with data mining methods
Influence of legacy soil map accuracy on soil map updating with data mining methods
复制标题
遗留土壤图精度对数据挖掘方法更新土壤图的影响
DOI：
10.1016/j.geoderma.2022.115802
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发表时间：
2022-06
期刊：
影响因子：
6.1
通讯作者：
Tianwu Ma
中科院分区：
文献类型：
--
作者：
Xueqi Liu;A-Xing Zhu;Lin Yang;Tao Pei;Feng Qi;Junzhi Liu;Desheng Wang;Canying Zeng;Tianwu Ma
在过去几十年中，制作了各种比例尺的传统土壤图，并以数字形式提供。已作出努力，以更新这些地图，通过各种数据挖掘方法，提供更详细，更准确的信息，土壤空间格局。目前尚不清楚的关键问题是：（1）遗留土壤图的准确性如何影响更新结果;（2）无论遗留土壤图的准确性如何，推断土壤图的准确性是否总是得到提高。本研究旨在探讨这些问题。为了模拟常规图中夹杂物和边界位移引起的误差，开发了两种噪声产生模拟方法，以生成一系列具有不同精度和空间模式的源图。此外，两种训练样本的选择方法和三种数据挖掘模型的影响推断土壤图的精度和空间格局进行了评估。在美国威斯康星州拉克罗斯县的一个典型的山脊和山谷地形的小区域，拉菲尔森研究区进行了案例研究。结果表明，如果源土壤图的精度在35%~ 75%之间，则推断土壤图的精度会有所提高。这些发现对通过数据挖掘方法更新传统土壤图和了解该方法有效的情况具有重要意义。
Over the past decades, conventional soil maps of various scales have been produced and become available in digital form. Efforts have been made to update these maps through various data mining methods to provide more detailed and precise information on soil spatial patterns. Key questions that remain unclear are: (1) How does the accuracy of legacy soil maps impact the update results; (2) Is the accuracy of inferred soil maps always improved regardless of the accuracy of the legacy maps. The current study aims to investigate these questions. Two noise production simulation methods were developed to simulate errors caused by inclusion and boundary displacement in the conventional maps, to generate a series of source maps with different accuracies and spatial patterns. Moreover, the impacts of two training sample selection methods and three data mining models on the accuracies and spatial patterns of the inferred soil maps were also evaluated. A case study was conducted in a small region, Raffelson study area, a typical ridge and valley terrain in La Crosse County, Wisconsin, USA. Results indicated that if the accuracies of the source soil maps ranged from 35% to 75%, the inferred soil map accuracies would be improved. These findings have important implications for updating conventional soil maps through data mining methods and understanding the situation in which the method is effective.
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影响因子：
4.2
作者：
A. Zhu;J. Liu;F. Du;S. Zhang;C. Qin;J. Burt;T. Behrens;T. Scholten
通讯作者：
A. Zhu;J. Liu;F. Du;S. Zhang;C. Qin;J. Burt;T. Behrens;T. Scholten
影响因子：
3.2
作者：
P. Quinn;K. Beven;P. Chevallier;O. Planchon
通讯作者：
P. Quinn;K. Beven;P. Chevallier;O. Planchon
影响因子：
2.9
作者：
A. Zhu;B. Hudson;J. Burt;K. Lubich;D. Simonson
通讯作者：
A. Zhu;B. Hudson;J. Burt;K. Lubich;D. Simonson
DOI：
10.1080/13658810310001596049
发表时间：
2003-12
影响因子：
5.7
作者：
Feng Qi;A. Zhu
通讯作者：
Feng Qi;A. Zhu
影响因子：
2.9
作者：
A. Zhu;L. Band;R. Vertessy;Barry Dutton
通讯作者：
A. Zhu;L. Band;R. Vertessy;Barry Dutton