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

Yanzhao YANG; Tingting LANG; Chao ZHANG; Kun JIA

doi:10.12082/dqxxkx.2020.200060

Journals >Journal of Geo-information Science >Volume 22 >Issue 4 >Page 867 > Article

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

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

Yanzhao YANG^{1、1、2、2、3、3、*}, Tingting LANG^{1、1、2、2}, Chao ZHANG^{1、1、2、2}, and Kun JIA^{1、1、2、2}

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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DOI: 10.12082/dqxxkx.2020.200060 Cite this Article

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 Copy Citation Text

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Fig. 1. Distribution of meteorological stationson the Belt and Road (BR) regions

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Fig. 2. Comparison of RMSE based on IDS, RIDS, CK and RCK in the BR regions

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Fig. 3. Raster map of annul mean temperature based on IDS, CK, RIDS and RCK methods in the BR regions

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Fig. 4. Raster map of monthly mean temperature based on IDS, CK, RIDS and RCK methods in the BR regions

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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^**	0.951	Z₁=46.648-0.127λ-0.913φ-0.005h	（11）
2	-0.085^**	-0.896^**	-0.131^**	0.957	Z₂=45.946-0.112λ-0.886φ-0.004h	（12）
3	-0.052^**	-0.910^**	-0.123^**	0.959	Z₃=44.328-0.088λ-0.777φ-0.004h	（13）
4	-0.008^**	-0.904^**	-0.120^**	0.941	Z₄=42.320-0.060λ-0.635φ-0.003h	（14）
5	0.007	-0.869^**	-0.140^**	0.905	Z₅=40.040-0.043λ-0.484φ-0.003h	（15）
6	0.035	-0.803^**	-0.164^**	0.837	Z₆=37.136-0.026λ-0.349φ-0.002h	（16）
7	0.020	-0.746^**	-0.180^**	0.786	Z₇=36.040-0.023λ-0.282φ-0.002h	（17）
8	-0.009	-0.794^**	-0.171^**	0.839	Z₈=37.403-0.031λ-0.324φ-0.002h	（18）
9	0.001	-0.872^**	-0.174^**	0.915	Z₉=38.679-0.040λ-0.434φ-0.003h	（19）
10	-0.038^**	-0.899^**	-0.162^**	0.950	Z₁₀=41.693-0.064λ-0.594φ-0.004h	（20）
11	-0.094^**	-0.888^**	-0.147^**	0.954	Z₁₁=45.833-0.102λ-0.785φ-0.004h	（21）
12	-0.115^**	-0.875^**	-0.156^**	0.949	Z₁₂=46.378-0.122λ-0.874φ-0.005h	（22）
年平均	-0.055^**	-0.901^**	-0.153^**	0.956	Z_年均=41.883-0.070λ-0.612φ-0.003h	（23）

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	IDS		RIDS		CK		RCK
月份	ME	RSME	ME	RMSE	ME	RMSE	ME	RMSE
1	0.026	2.30	-0.078	2.23	0.007	2.14	-0.009	1.92
2	0.038	2.30	-0.059	1.98	0.006	2.05	-0.007	1.70
3	0.030	2.30	-0.048	1.67	0.004	2.04	-0.004	1.52
4	0.003	2.19	-0.019	1.60	0.002	2.07	-0.001	1.51
5	-0.013	2.13	0.000	1.58	0.003	2.09	-0.002	1.51
6	-0.025	2.15	0.014	1.67	0.007	2.17	-0.004	1.62
7	-0.029	2.12	0.019	1.67	0.003	2.11	-0.006	1.66
8	-0.021	2.00	0.010	1.50	0.003	1.99	-0.017	1.59
9	-0.014	1.93	0.000	1.31	0.002	1.89	-0.003	1.28
10	0.019	1.97	-0.036	1.32	0.004	1.78	-0.003	1.23
11	-0.048	2.21	-0.068	1.73	0.007	1.85	-0.007	1.50
12	0.062	2.43	-0.086	2.14	0.016	2.04	-0.010	1.84
年均气温	0.013	1.94	-0.028	1.37	0.003	1.83	-0.004	1.27

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

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