A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 9

Comparison of interpolation results of 5 kinds of interpolation methods on Aug. 9, 2013.

Study area-1		Forecast date: Aug. 9, 2013			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	115.910	44.086	44.572	45.299	44.968	43.377	41.169
2	Farmland 2	31.688	115.974	45.801	44.902	45.305	45.549	45.355	45.859
3	Farmland 3	31.682	115.876	44.473	45.434	45.592	42.255	45.385	46.336
4	Farmland 4	31.671	115.924	45.277	44.080	43.174	43.515	42.791	45.183
5	Woodland 1	31.745	115.947	44.369	45.916	47.383	46.870	47.569	48.472
6	Woodland 2	31.741	115.792	43.869	41.352	41.862	41.053	42.568	43.502
7	Woodland 3	31.731	115.848	39.674	41.126	40.758	41.101	40.362	40.240
8	Woodland 4	31.685	115.722	39.962	39.635	39.509	39.795	39.722	36.678
9	Residential land 1	31.770	115.931	49.092	48.774	48.794	47.180	48.849	49.691
10	Residential land 2	31.724	115.942	48.106	47.027	47.066	46.580	47.482	48.167
11	Residential land 3	31.702	115.803	44.395	42.426	41.770	41.326	42.269	43.038
12	Transport land 1	31.669	115.951	46.802	45.416	46.645	44.797	46.878	47.756
13	Transport land 2	31.590	115.917	45.973	42.301	41.063	40.912	38.718	39.513
14	Waters and water conservancy facility land 1	31.625	115.860	37.502	37.878	38.794	39.143	39.568	45.812
15	Waters and water conservancy facility land 2	31.623	115.999	36.887	37.213	38.130	39.294	37.152	35.224