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Figure/Table detail

Adaptive IDW interpolation method and its application in the temperature field
Ping DUAN, Yehua SHENG, Jia LI, Haiyang LV, Siyang ZHANG
GEOGRAPHICAL RESEARCH, 2014, 33(8): 1417-1426.   DOI: 10.11821/dlyj201408003

方法 εmax εmin εme εrmse
IDW-Default 3.8939E+00 -3.7626E+00 2.5680E-02 7.9266E-01
IDW-4/2 4.0916E+00 -3.7738E+00 1.5773E-02 7.6070E-01
IDW-8/1 3.9136E+00 -3.7762E+00 1.4010E-02 7.5865E-01
IDW-8/2 3.7270E+00 -3.6215E+00 1.5546E-02 7.6433E-01
NNI 4.2397E+00 -3.5932E+00 -7.3869E-03 7.4926E-01
AIDW 3.8492E+00 -3.8634E+00 9.3323E-03 7.5376E-01
Tab.7 The error statistics of interpolation methods (oC)
Other figure/table from this article
  • Fig.1 The search strategy
  • Fig.2 Flow chart of the AIDW
  • Fig. 3 The regular grid index
  • Fig. 4 Selections of the first order natural neighbors
  • Fig.5 Franke surface <![CDATA[(2)]]>
  • Tab. 1 Interpolation error statistics of 500 sampling points and 1000 interpolation points
  • Tab. 2 Interpolation error statistics of 1000 sampling points and 1000 interpolation points
  • Tab. 3 Interpolation error statistics of 2000 sampling points and 1000 interpolation points
  • Tab. 4 Interpolation error statistics of 5000 sampling points and 1000 interpolation points
  • Tab.5 Interpolation error statistics of 10000 sampling points and 1000 interpolation points
  • Tab. 6 Interpolation error statistics of 20000 sampling points and 1000 interpolation points
  • Fig.6 Spatial distribution of the data
  • Fig. 7 Comparison of interpolation results

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