Journal of Geo-information Science, Volume. 22, Issue 4, 867(2020)

Comparative Study of Different Temperature Interpolation Methods in the Belt and Road Regions based on GIS

Yanzhao YANG1...1,2,2,3,3,*, Tingting LANG1,1,2,2, Chao ZHANG1,1,2,2, and Kun JIA1,1,22 |Show fewer author(s)
Author Affiliations
  • 1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
  • 1中国科学院地理科学与资源研究所,北京 100101
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 2中国科学院大学,北京 100049
  • 3Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Beijing 101149, China
  • 3自然资源部资源环境承载力评价重点实验室,北京 101149
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    Figures & Tables(6)
    Distribution of meteorological stationson the Belt and Road (BR) regions
    Comparison of RMSE based on IDS, RIDS, CK and RCK in the BR regions
    Raster map of annul mean temperature based on IDS, CK, RIDS and RCK methods in the BR regions
    Raster map of monthly mean temperature based on IDS, CK, RIDS and RCK methods in the BR regions
    • Table 1. Correlation coefficient, multiple correlation coefficient and linear regression equation of mean temperature with latitude, longitude and altitude in the BR regions

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      Table 1. Correlation coefficient, multiple correlation coefficient and linear regression equation of mean temperature with latitude, longitude and altitude in the BR regions

      月份相关系数(λ相关系数(φ相关系数(h复相关系数回归方程 序号
      1-0.115**-0.877**-0.152**0.951Z1=46.648-0.127λ-0.913φ-0.005h(11)
      2-0.085**-0.896**-0.131**0.957Z2=45.946-0.112λ-0.886φ-0.004h(12)
      3-0.052**-0.910**-0.123**0.959Z3=44.328-0.088λ-0.777φ-0.004h(13)
      4-0.008**-0.904**-0.120**0.941Z4=42.320-0.060λ-0.635φ-0.003h(14)
      50.007-0.869**-0.140**0.905Z5=40.040-0.043λ-0.484φ-0.003h(15)
      60.035-0.803**-0.164**0.837Z6=37.136-0.026λ-0.349φ-0.002h(16)
      70.020-0.746**-0.180**0.786Z7=36.040-0.023λ-0.282φ-0.002h(17)
      8-0.009-0.794**-0.171**0.839Z8=37.403-0.031λ-0.324φ-0.002h(18)
      90.001-0.872**-0.174**0.915Z9=38.679-0.040λ-0.434φ-0.003h(19)
      10-0.038**-0.899**-0.162**0.950Z10=41.693-0.064λ-0.594φ-0.004h(20)
      11-0.094**-0.888**-0.147**0.954Z11=45.833-0.102λ-0.785φ-0.004h(21)
      12-0.115**-0.875**-0.156**0.949Z12=46.378-0.122λ-0.874φ-0.005h(22)
      年平均-0.055**-0.901**-0.153**0.956Z年均=41.883-0.070λ-0.612φ-0.003h(23)
    • Table 2. The results of cross validation errors for IDS, RIDS, CK and RCK in the BR regions (℃)

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      Table 2. The results of cross validation errors for IDS, RIDS, CK and RCK in the BR regions (℃)

      月份IDSRIDSCKRCK
      MERSMEMERMSEMERMSEMERMSE
      10.0262.30-0.0782.230.0072.14-0.0091.92
      20.0382.30-0.0591.980.0062.05-0.0071.70
      30.0302.30-0.0481.670.0042.04-0.0041.52
      40.0032.19-0.0191.600.0022.07-0.0011.51
      5-0.0132.130.0001.580.0032.09-0.0021.51
      6-0.0252.150.0141.670.0072.17-0.0041.62
      7-0.0292.120.0191.670.0032.11-0.0061.66
      8-0.0212.000.0101.500.0031.99-0.0171.59
      9-0.0141.930.0001.310.0021.89-0.0031.28
      100.0191.97-0.0361.320.0041.78-0.0031.23
      11-0.0482.21-0.0681.730.0071.85-0.0071.50
      120.0622.43-0.0862.140.0162.04-0.0101.84
      年均气温0.0131.94-0.0281.370.0031.83-0.0041.27
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    Yanzhao YANG, Tingting LANG, Chao ZHANG, Kun JIA. Comparative Study of Different Temperature Interpolation Methods in the Belt and Road Regions based on GIS[J]. Journal of Geo-information Science, 2020, 22(4): 867

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    Paper Information

    Received: Feb. 8, 2020

    Accepted: --

    Published Online: Nov. 12, 2020

    The Author Email: YANG Yanzhao (yangyz@igsnrr.ac.cn)

    DOI:10.12082/dqxxkx.2020.200060

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