A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 18

Comparison of interpolation results of 5 kinds of interpolation methods on Jul. 10, 2013.

Study area-2		Forecast date: Jul. 10, 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	29.835	118.266	35.071	36.730	38.018	38.408	40.071	43.826
2	Farmland 2	29.697	118.228	37.981	35.398	34.928	34.230	34.662	35.745
3	Woodland 1	29.914	118.139	30.012	29.221	28.643	27.689	27.914	28.126
4	Woodland 2	29.900	118.330	34.162	35.963	37.472	36.833	36.132	34.809
5	Woodland 3	29.894	118.524	35.395	36.822	37.653	37.505	38.331	40.496
6	Woodland 4	29.842	118.524	36.442	35.110	35.729	35.586	35.827	39.280
7	Woodland 5	29.750	118.525	31.775	32.236	32.297	31.740	32.968	32.647
8	Woodland 6	29.698	118.108	33.573	34.817	34.728	35.205	35.340	32.472
9	Woodland 7	29.677	118.353	34.980	36.399	39.335	39.142	35.644	29.332
10	Residential land 1	29.832	118.337	41.655	39.583	39.386	39.255	39.308	39.936
11	Residential land 2	29.756	118.264	40.206	39.690	38.307	38.235	37.247	33.101
12	Transport land 1	29.758	118.091	36.348	35.363	34.768	36.077	36.815	40.110
13	Transport land 2	29.727	118.204	37.221	35.640	35.083	35.242	35.438	38.313
14	Waters and water conservancy facility land 1	29.903	118.241	28.349	29.977	30.234	30.705	30.449	30.414
15	Waters and water conservancy facility land 2	29.816	118.425	35.644	35.757	37.428	36.487	35.722	34.758