A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 6

Comparison of interpolation results of 5 kinds of interpolation methods on Apr. 17, 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	28.266	26.247	27.014	26.981	25.915	28.132
2	Farmland 2	31.688	115.974	24.056	25.687	26.022	25.977	26.251	27.399
3	Farmland 3	31.682	115.876	27.657	26.708	27.342	24.66	26.983	28.251
4	Farmland 4	31.671	115.924	25.586	25.069	24.758	24.761	24.903	27.626
5	Woodland 1	31.745	115.947	27.254	27.542	28.959	28.502	28.852	28.134
6	Woodland 2	31.741	115.792	24.079	24.049	24.341	23.972	24.74	24.979
7	Woodland 3	31.731	115.848	22.263	23.859	24.202	24.382	23.472	23.559
8	Woodland 4	31.685	115.722	21.083	22.450	22.473	22.447	23.386	19.394
9	Residential land 1	31.77	115.931	30.309	29.533	29.472	28.717	29.137	28.786
10	Residential land 2	31.724	115.942	28.418	28.909	28.882	28.341	29.631	30.642
11	Residential land 3	31.702	115.803	26.475	24.428	23.534	23.277	23.506	26.003
12	Transport land 1	31.669	115.951	26.794	26.034	26.471	25.365	26.551	26.961
13	Transport land 2	31.59	115.917	26.191	24.145	23.216	23.356	21.925	22.816
14	Waters and water conservancy facility land 1	31.625	115.86	20.925	21.042	21.693	21.937	21.731	24.497
15	Waters and water conservancy facility land 2	31.623	115.999	17.673	19.391	20.451	20.954	18.998	17.321