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基于空間自相關(guān)的耕地等別指數(shù)檢驗(yàn)方法研究
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國土資源部財(cái)政預(yù)算項(xiàng)目(2015-02-02-01)


Test Method of Cultivated Land Grading Index Based on Spatial Autocorrelation
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    摘要:

    耕地質(zhì)量等別成果在我國耕地保護(hù)中發(fā)揮了重要作用,因此對耕地質(zhì)量等別成果質(zhì)量檢驗(yàn)方法的研究具有重要的現(xiàn)實(shí)意義。建立了以耕地面積修正反距離權(quán)重矩陣的改進(jìn)模型,并分別提取了改進(jìn)模型和反距離模型的疑似異常值單元,得到了縣域內(nèi)所有耕地單元的自然等指數(shù)的標(biāo)準(zhǔn)差,選取大于增量空間自相關(guān)最大莫蘭指數(shù)所對應(yīng)的閾值距離為緩沖區(qū)半徑,按照研究確定的縣域耕地自然等指數(shù)疑似異常值判定與選取的標(biāo)準(zhǔn),對疑似異常值單元與其緩沖區(qū)范圍內(nèi)耕地單元的自然等指數(shù)進(jìn)行比較和判斷,排除非確定異常值,得到確定異常值,并對最終結(jié)果進(jìn)行了檢驗(yàn)。以內(nèi)蒙古自治區(qū)寧城縣為例,分析得到自然等指數(shù)的標(biāo)準(zhǔn)差為78,緩沖區(qū)距離為600m,結(jié)果表明,判定與選取異常值的標(biāo)準(zhǔn)能準(zhǔn)確提取確定異常值單元,排除大部分非確定異常值,且檢驗(yàn)表明,提取確定異常值的精度較高;在相同閾值距離下,改進(jìn)模型比反距離權(quán)重模型在提取確定異常值單元方面存在一定優(yōu)勢,說明面積和距離都是影響耕地質(zhì)量相關(guān)性的重要指標(biāo)。該方法可以為縣域耕地質(zhì)量等別成果數(shù)據(jù)檢驗(yàn)提供參考,也為空間自相關(guān)分析在相關(guān)領(lǐng)域中的應(yīng)用提供一種新思路。

    Abstract:

    The cultivated land quality grading results have played an important role in the protection of cultivated land, therefore, research on the test method of cultivated land quality grading results has important practical significance. The main purpose of this study was to prove the rationality of the cultivated land quality gradating results by testing cultivated land natural quality index. This paper presented an improved model, and it was established with inverse distance weighting (IDW) matrix which was amended by cultivated land area, then suspected outliers of the improved model and the original IDW model were extacted. In order to determine the accuracy of suspected outliers, a further study was carried out to establish a standard for judging and extracting suspected outliers, which included analyzing the standard deviation of cultivated land natural quality index of cultivated land unit, and selecting a distance which is greater than the threshold distance of biggest Moran index as a buffer radius. This new method was illustrated by using Ningcheng County of Inner Mongolia as a case study, the standard deviation was 78 and the buffer radius was 600 m were obtained. The results indicated that the method using standard to judge suspected outliers can accurately judge determined outliers and exclude most nondeterministic outliers. Besides, the improved model was better than the original IDW model on extracting the determined outliers unit in the same threshold distance, which illustrated that both the area and the distance were important indicators of the quality of cultivated land. This method can provide a reference for testing the cultivated land quality gradating results at county level, and also provide a new way for the application of spatial autocorrelation analysis in related fields.

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楊永俠,王旭,孟丹,孫婷,張中帆,施彥如.基于空間自相關(guān)的耕地等別指數(shù)檢驗(yàn)方法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2016,47(5):328-335. Yang Yongxia, Wang Xu, Meng Dan, Sun Ting, Zhang Zhongfan, Shi Yanru. Test Method of Cultivated Land Grading Index Based on Spatial Autocorrelation[J]. Transactions of the Chinese Society for Agricultural Machinery,2016,47(5):328-335.

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  • 收稿日期:2016-01-25
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  • 在線發(fā)布日期: 2016-05-10
  • 出版日期: 2016-05-10