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《Science of Surveying and Mapping》 2016-12
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A spatio-temporal hybrid interpolation method and its application

ZHANG Zhongrong;WANG Yaling;YAN Haowen;School of Mathematics and Physics,Lanzhou Jiaotong University;School of Mathematics and Statistics,Lanzhou University;Faculty of Geomatics,Lanzhou Jiaotong University;  
Any point in the space-time field can be interpolated by spatio-temporal Kriging method,and the interpolated accuracy is largely influenced by spatial and temporal variogram.In traditional research,choosing spatio-temporal variogram models is often influenced by subjective factors and theoretical semivariogram is limited,there is no universal method for spatio-temporal interpolation,and the parameters are complex to determine,thus resulting in poor accuracy.Aiming at this problem,the GRNN-STK hybrid spatio-temporal interpolation method was proposed in this paper by introducing GRNN neural network to adaptively fit the experimental variogram of actual data.The improved spatio-temporal kriging and several other comparative models were applied to Minqin county groundwater level data respectively for interpolation experimental comparison.Comparative results showed that the mixed interpolation accuracy of proposed method was increased significantly.It is a universal interpolation method.
【Fund】: 国家自然科学基金项目(41371435 61364001 71563025)
【CateGory Index】: P208;P641.7
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