A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 3

Comparison of interpolation results of 5 kinds of interpolation methods on Jan. 11, 2018.

Study area-1		Forecast date: January 11, 2018			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	31.743	115.91	1.428	1.76	1.552	1.572	1.577	1.356
2	Farmland 2	31.688	115.974	3.624	2.569	2.641	2.695	2.604	2.234
3	Farmland 3	31.682	115.876	2.394	1.924	1.909	2.305	2.294	2.028
4	Farmland 4	31.671	115.924	2.429	2.43	2.852	2.97	2.741	2.003
5	Woodland 1	31.745	115.947	2.186	1.840	1.729	1.544	1.507	1.306
6	Woodland 2	31.741	115.792	1.163	1.116	0.914	0.933	0.897	0.953
7	Woodland 3	31.731	115.848	1.226	1.533	1.483	1.323	1.296	0.573
8	Woodland 4	31.685	115.722	1.282	1.231	0.962	0.714	0.359	0.405
9	Residential land 1	31.77	115.931	1.703	1.168	1.143	1.095	1.049	0.774
10	Residential land 2	31.724	115.942	1.631	2.083	2.075	2.067	2.07	1.807
11	Residential land 3	31.702	115.803	2.113	2.108	1.515	1.365	1.475	0.299
12	Transport land 1	31.669	115.951	2.364	2.348	2.26	2.348	2.095	1.923
13	Transport land 2	31.59	115.917	2.324	2.366	2.232	1.555	5.592	5.458
14	Waters and water conservancy facility land 1	31.625	115.86	5.125	5.431	4.373	4.054	3.927	-0.376
15	Waters and water conservancy facility land 2	31.623	115.999	7.96	6.284	5.524	5.617	5.753	7.651