Abstract:

Farmland is an important resource of agricultural production, and cultivated land fertility evaluation is an important guarantee for quality construction of arable land, soil nutrients interpolation techniques affect the evaluation of farmland accuracy and availability immediately. This paper took data of Licheng County as an example, the City was classified into plain and hilly region based on the landform condition. We analyzed distribution and spatial variation via the sample point data, including organic matter, available phosphorus, rapid available potassium, available zinc and available boron. This paper carried on interpolation of soil nutrients by the model of Inverse Distance Weighted and Ordinary Kriging in Licheng plain and hilly regions. Moreover, we compared the two kinds of interpolation method by the way of cross-validation and comparative analysis. At the same time, compared and analyzed the different interpolation methods based on evaluation results of farmland. In conclusion, both Inverse Distance Weighted and Ordinary Kriging had high precision, Inverse Distance Weighted was the best for interpolation of soil nutrients in hilly region but Ordinary Kriging was suitable for plain. The difference of evaluation results between the two methods for a variety of elements involved in the county farmland was small. Based on the combined principle of practicality and accuracy, Inverse Distance Weighted was the optimal choice of spatial interpolation methods for soil nutrients in cultivated land fertility evaluation.