A Spatial Interpolation of Meteorological Parameters considering Geographic Semantics

Table 15

Comparison of interpolation results of 5 kinds of interpolation methods on Apr. 19, 2018.

Study area-2		Forecast date: Apr. 19, 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	29.835	118.266	28.319	29.329	30.205	28.295	31.402	33.163
2	Farmland 2	29.697	118.228	27.913	28.669	27.289	27.577	27.147	26.398
3	Woodland 1	29.914	118.139	26.573	25.333	25.081	25.916	24.636	24.906
4	Woodland 2	29.900	118.330	26.710	28.893	29.930	30.326	29.204	28.371
5	Woodland 3	29.894	118.524	27.722	28.717	29.123	28.665	29.350	32.286
6	Woodland 4	29.842	118.524	26.715	27.145	27.100	27.199	27.442	30.523
7	Woodland 5	29.750	118.525	26.039	25.032	24.704	26.027	24.679	25.179
8	Woodland 6	29.698	118.108	29.600	27.468	27.927	28.226	27.658	30.677
9	Woodland 7	29.677	118.353	26.205	27.298	29.026	28.417	26.651	18.758
10	Residential land 1	29.832	118.337	32.115	30.855	30.579	30.712	30.154	30.312
11	Residential land 2	29.756	118.264	25.245	30.204	29.724	29.506	29.511	28.246
12	Transport land 1	29.758	118.091	28.044	28.270	27.958	26.828	29.346	35.263
13	Transport land 2	29.727	118.204	28.170	28.289	28.016	28.063	28.075	30.576
14	Waters and water conservancy facility land 1	29.903	118.241	23.053	24.556	25.234	27.370	25.125	24.395
15	Waters and water conservancy facility land 2	29.816	118.425	26.727	26.616	27.856	28.520	25.823	24.521