【摘要】 空间分层是耕地质量监测与评价的关键环节。以科尔沁左翼中旗为例，本文提出了一种基于分类主成分分析的耕地质量空间异质性分层方法。采用分类主成分分析量化耕地质量指标权重，结合均值-标准差分级法划分指标为重要指标和一般指标。依据国家标准选择分等定级方法进行重要指标等级划分，基于二阶聚类方法进行一般指标空间聚类分层，构建分层融合规则进行耕地质量空间异质性分层。分别采用地理探测器和一致性检验方法对分层结果进行定量和定性评估，并与全指标聚类分层方法进行对比分析。结果表明：科尔沁左翼中旗耕地质量指标划分为重要指标和一般指标，耕地质量空间异质性分层结果为高等、中高等、中等、中低等和低等，相应分层面积占比分别为12%、22%、28%、24%和14%;基于地理探测器计算的分层结果q值为0.74和0.67,分层结果与耕地质量评价数据和耕地质量等级相契合，空间异质性分层效果优于全指标聚类分层方法。提出的耕地质量空间异质性分层方法更加凸显重要指标对耕地质量的贡献，可为耕地质量快速筛查和动态监测提供技术支撑。更多还原

【Abstract】 Spatial stratification is a key link in the monitoring and evaluation of cropland quality. Taking Horqin Left-Wing Middle Banner as an example, a method for spatial heterogeneity stratification in arable cropland quality was proposed based on categorical principal component analysis. The weights of cropland quality indicators were quantified by categorical principal component analysis method, and the indicators were classified into important and general indicators by combining the mean-standard deviation grading method. The important indicators were classified by using a classification and gradation method according to the corresponding national standard, and the spatial clustering stratification of the general indicators were carried out based on the two-step clustering method. The spatial heterogeneity stratification of cropland quality was achieved by constructing the stratification and fusion rules. The stratification results were evaluated in both quantitative and qualitative terms by using geographical detector and consistency testing method, respectively, and were compared with the full-indicator clustering stratification method. The results showed that the indicators of cropland quality in Horqin Left-Wing Middle Banner were divided into important indicators and general indicators, and the results of spatial heterogeneity stratification for cropland quality were high, medium-high, medium, medium-low, and low strata, and the corresponding proportions of stratified areas were 12%, 22%, 28%, 24% and 14%, respectively. The q values of the stratification results calculated using the geographic detector were 0.74 and 0.67, and the stratification results were consistent with the evaluation data of cropland quality and the grades of cropland quality. The effect of spatial heterogeneity stratification was better than that of the full-indicator clustering stratification method. The developed spatial heterogeneity stratification method of cropland quality can highlight the contributions of important indicators to cropland quality, and provide a technical support for rapid screening and dynamic monitoring of cropland quality. The developed method for spatial heterogeneity stratification in arable cropland quality further highlighted the contribution of key indicators to soil fertility, thereby providing technical support for rapid screening and dynamic monitoring of arable cropland quality.更多还原