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当前位置: 首页 > 文章 > 顾及空间自相关的农作物面积空间抽样研究进展 中国农业信息 2018 (3) 54-62
Position: Home > Articles > Advances in spatial sampling of crop area considering spatial autocorrelation of survey units China Agricultural Information 2018 (3) 54-62

顾及空间自相关的农作物面积空间抽样研究进展

作  者：
仲格吉;周清波;王迪
关键词：
空间自相关性;农作物面积;空间抽样;抽样效率
摘  要：
【目的】对当前农作物面积空间抽样调查在空间自相关研究方面存在不足与发展趋势进行总结与展望。【方法】文章简要概括了空间自相关的科学内涵与研究方法,并根据其在不同领域的实践应用对空间自相关的基本特征进行了系统总结;通过对国内外专家学者研究进展的评述,指出目前考虑空间自相关的农作物面积空间抽样调查方法仅从抽样精度、抽样费用、抽样单元设计和分层效率方面对空间抽样效率进行评价,并未考虑农作物面积单元间空间自相关性的存在会对其空间抽样造成影响的发展现状。【结果 /结论】国内外学者在抽样单元间空间自相关性的理论研究与综合应用方面做了大量的研究,但涉及空间自相关性对农作物面积空间抽样效率影响方面的研究则鲜有报道,缺乏空间自相关性对农业资源空间抽样效率影响的定量评价方法和指标,影响了农作物面积空间抽样方案的优化与实施。可进一步开展关于抽样单元空间自相关性对农作物抽样效率影响的定量研究,为进一步改善农作物空间抽样调查方法在不同地区应用适宜性评价和抽样效率提供理论依据。
译  名：
Advances in spatial sampling of crop area considering spatial autocorrelation of survey units
作  者：
Zhong Geji;Zhou Qingbo;Wang Di;Key Laboratory of Agricultural Remote Sensing,Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning ,Chinese Academy of Agricultural Sciences;
单  位：
Zhong Geji%Zhou Qingbo%Wang Di%Key Laboratory of Agricultural Remote Sensing,Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning ,Chinese Academy of Agricultural Sciences
关键词：
spatial correlation;;crops acreage;;spatial sampling;;sampling efficiency
摘  要：
[Purpose]Summarized and forecasted the shortcomings and development trends of spatial autocorrelation research on current crop area spatial sampling survey. [Methods]The article outlines the scientific connotation of spatial autocorrelation,and systematically summarizes the basic characteristics of spatial autocorrelation according to its practical application in different fields.Through the review of the research progress of domestic and foreign experts and scholars,it is informed that the existing spatial sampling survey method for crop area considering spatial autocorrelation only evaluated the spatial sampling efficiency from the aspects of sampling accuracy,sampling cost,sampling unit design and stratification efficiency,and did not consider the effects originated from the existence of spatial autocorrelation between crop area units.[Result/Conclusion]Although there have been a lot of researches on the theory, methods and application of spatial autocorrelation, papers and works related to the research on the impact of spatial autocorrelation on the sampling efficiency of crop area are inadequate, and there is a lack of quantitative evaluation methods and indicators for the impact of spatial autocorrelation on the spatial sampling efficiency of agricultural resources, which affects the optimization and implementation of spatial sampling schemes for crop areas. Quantitative study on the effects of spatial autocorrelation of sampling units on crop sampling efficiency can be further carried out to provide theoretical basis for further improving the suitability evaluation and sampling efficiency of crop spatial sampling survey methods in different regions.

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