Remote Sensing Technology and Application

Analysis on Evolution of Ecological Vulnerability of Shanxi Province based on the Remote Sensing and GIS Technique

Huilin ZHANG, Weiguo WANG, Jian WANG, Xiaojiong ZHAO, Yanjun HOU, Yilan BO

Remote Sensing Technology and Application, 2024, 39(2): 478-491. DOI: 10.11873/j.issn.1004-0323.2024.2.0478

模型	空间权重核函数	AIC	AICc	R²	调整后的R²	残差平方和
OLS	-	-7 072.62	-7 072.52	0.58	0.57	1.01
GWR	FG	-7 717.94	-7 624.04	0.79	0.74	0.49
	FB	-8 176.23	-7 928.36	0.87	0.81	0.31
	AB	-8 139.38	-7 951.20	0.86	0.80	0.34
	AG	-7 410.06	-7 397.78	0.69	0.67	0.73

Table4 Parameter comparison of OLS and GWR model on different weight kernel function

Other figure/table from this article

Fig.1 Location of study area
Table1 Basic information of data
Table 2 The ecological vulnerability evaluation index system in the Shanxi Province
Table3 The division rules of ecological vulnerability
Fig.2 Spatial-temporal distribution characteristics of ecological vulnerability in Shanxi Province
Fig. 3 Spatial distribution from changes of ecological vulnerability of Shanxi Province
Fig.4 Gravity center migration of ecological vulnerability on Shanxi province from 2000 to 2019
Fig.5 Percentage of ecological vulnerability under different ecological function areas
Fig.6 Percentage of ecological vulnerability under different land-use types
Table5 Parameter details of GWR （AB） model
Fig.7 Spatial distribution of coefficients of GWR（AB） model
Fig.8 Ecological environment optimization of Shanxi Province
Fig.9 The distribution of R² and residual of GWR（AB） model