A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 12

Comparison of interpolation results of 5 kinds of interpolation methods on Feb. 11, 2017.

Study area-2		Forecast date: Feb. 11, 2017			Forecasting methods (unit of temperature °C)
Point to be valued	Land-use types	Lat	Lon	LST	S-IDW	IDW	Kriging	Natural	Spline
1	Farmland 1	29.835	118.266	7.900	8.205	8.517	9.019	8.971	9.778
2	Farmland 2	29.697	118.228	6.902	8.867	8.106	8.125	8.254	8.812
3	Woodland 1	29.914	118.139	1.939	1.316	1.192	−0.869	−0.065	−1.176
4	Woodland 2	29.900	118.330	6.939	7.658	8.842	8.670	8.651	8.373
5	Woodland 3	29.894	118.524	7.147	7.798	8.637	8.982	9.025	10.682
6	Woodland 4	29.842	118.524	6.948	6.234	7.139	6.788	6.390	7.234
7	Woodland 5	29.750	118.525	3.188	2.662	2.873	1.054	2.014	0.001
8	Woodland 6	29.698	118.108	9.340	7.255	8.854	8.921	8.679	9.470
9	Woodland 7	29.677	118.353	5.960	5.508	7.421	5.451	4.136	2.635
10	Residential land 1	29.832	118.337	8.289	8.814	8.903	8.842	8.876	9.143
11	Residential land 2	29.756	118.264	7.201	9.052	8.589	8.172	8.283	8.133
12	Transport land 1	29.758	118.091	7.087	7.776	7.798	9.194	8.698	9.734
13	Transport land 2	29.727	118.204	8.000	8.102	8.697	8.538	8.509	9.173
14	Waters and water conservancy facility land 1	29.903	118.241	7.431	6.969	6.593	6.785	7.002	7.174
15	Waters and water conservancy facility land 2	29.816	118.425	7.803	7.933	8.714	8.676	8.636	8.850