SpringerPlus

Table 2 The statistic of errors in the process of groundwater interpolation in the last 5 years (2009–2013)

From: Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China

Year	Errors	Methods
2013	Interpolation model	IDW	GPI	LPI	TSPLINE	OK	SK	UK
	Mean error	0.17	−0.73	0.14	0.02	−0.04	0.02	0.03
	Root-mean-square (m)	0.89	1.46	1.07	1.24	0.26	0.11	0.24
	R²	0.92	0.89	0.91	0.90	0.96	0.99	0.96
2012	Interpolation model	IDW	GPI	LPI	TSPLINE	OK	SK	UK
	Mean error	0.11	0.79	−0.08	0.04	−0.10	0.03	−0.09
	Root-mean-square (m)	0.92	1.49	1.10	1.27	0.29	0.04	0.47
	R²	0.88	0.85	0.87	0.86	0.92	0.95	0.92
2011	Interpolation model	IDW	GPI	LPI	TSPLINE	OK	SK	UK
	Mean error	0.19	−0.71	0.16	−0.04	0.02	−0.01	0.01
	Root-mean-square (m)	0.17	0.72	0.14	0.02	0.04	0.02	0.03
	R²	0.91	0.88	0.90	0.89	0.95	0.98	0.95
2010	Interpolation model	IDW	GPI	LPI	TSPLINE	OK	SK	UK
	Mean error	0.19	−0.82	0.18	0.02	0.04	0.04	0.03
	Root-mean-square (m)	0.85	1.40	1.03	1.19	0.25	0.18	0.42
	R²	0.90	0.87	0.89	0.88	0.94	0.97	0.94
2009	Interpolation model	IDW	GPI	LPI	TSPLINE	OK	SK	UK
	Mean error	0.14	−0.77	−0.06	0.07	−0.07	0.05	−0.06
	Root-mean-square (m)	0.90	1.45	1.08	1.24	0.30	0.23	0.47
	R²	0.88	0.86	0.89	0.89	0.92	0.98	0.95

Back to article page