大庆市玉米品质预测模型对比研究

Comparative Study on Prediction Model of Maize Quality in Daqing

为了建立大庆市玉米品质预测模型,在利用网格法布设样本采集点及验证点的基础上,以Arc GIS为研究平台,针对采集点的玉米容重与水分数据分别应用反距离权重法和普通克里格法建立大庆市玉米品质预测模型,根据模型的插值结果与预设验证点数据结果对比分析两种方法对大庆市玉米品质预测的精确度。结果表明,两种方法插值的结果均能满足精度要求,但反距离权重法的精度更高,模拟效果更可靠。

In order to build the prediction model of maize quality of Daqing area, grid method was used to lay collection samples and verification point,with ArcGIS as research platform,aimed at acquisition data of the maize bulk density and moisture with ordinary Kriging method and inverse distance weighting method, prediction model of maize quality of Daqing was established. According to the results of interpolation of model and the data of presupposition verification point, accuracy of the results of two methods of Daqing maize quality predictionwas contrasted and analyzed. The results indicated that thetwo methods of interpolation results couldmeet the requirement of precision, the precision of the method of inverse distance weighted higher and the simulation results more reliable.