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Nov 12, 2016 · For breaking the limitation of the GIS platform and realizing the soil nutrients spatial interpolation algorithm for any points in the ...
Finally, the soil nutrient spatial interpolation was realized based on KNN and IDW algorithm. Meanwhile, the accuracy of the algorithm and the influence to the ...
The results show that the soil nutrient spatial interpolation algorithm was viable to predict the element contents of soil nutrient during the running time was ...
The results show that the soil nutrient spatial interpolation algorithm was viable to predict the element contents of soil nutrient during the running time was ...
Xin Xu, Hua Yu, Guang Zheng, Hao Zhang, Lei Xi: The Soil Nutrient Spatial Interpolation Algorithm Based on KNN and IDW. CCTA (1) 2015: 412-424.
Kriging is a well-known algorithm for spatial interpolation, but in this study it is proposed as an alternative data mining technique. It was compared to kNN as ...
Apr 3, 2023 · In this article I will explain a method to create a density map from a limited number of coordinates, by estimating missing values using interpolation.
Missing: Soil Nutrient
Spatial interpolation is the procedure of estimating the value of properties at unsampled sites within the area covered by existing observations.
Finally, the soil nutrient spatial interpolation was realized based on KNN and IDW algorithm. Meanwhile, the accuracy of the algorithm and the influence to ...
Traditional methods of spatial interpolation, such as inverse distance weighting (IDW) ... KNN mechanism to enhance the precision of spatial interpolation.