基于协同克里格的县域耕地质量监测点优化布设.

Optimizing the layout of monitoring sample points according to the spatial distribution characteristics of cultivated land quality can improve the monitoring efficiency and accuracy of cultivated land quality. In this paper, the environmental factors that change synergistically with cultivated land quality were selected as auxiliary variables, the spatial variation characteristics of cultivated land quality were analyzed by geostatistics, and the layout scheme of cultivated land quality monitoring sample points was optimized by Cokriging method. The results showed that the interpolation accuracy of 66 monitoring points obtained by Cokriging under the optimal（5 km×5 km）grid interval was better than that of ordinary Kriging under the small（2 km×2 km）grid interval; Under the same grid layout, the interpolation accuracy of monitoring points obtained by Cokriging method was better than that of ordinary Kriging. This shows that the Cokriging method combined with easily obtained auxiliary variable information can optimize the layout of cultivated land quality monitoring points, obtain the sample point scheme with fewer monitoring points, reduce the cost and improve the accuracy of cultivated land quality monitoring. [ABSTRACT FROM AUTHOR]