Skip to main content
. 2023 Oct 9;195(11):1282. doi: 10.1007/s10661-023-11853-y

Table 2.

Land use in Shijiazhuang as determined via binary Logistic regression

Driving factors Plowland Forestland Grassland Water area Construction land Unused land
Elevation − 18.712 3.514 − 1.012 − 68.452 − 13.229
Slope − 9.722 5.246 2.789 − 15.775 − 6.276 9.016
Aspect 0.086 0.621 − 0.525 − 0.692 0.196
GDP − 2.961 − 38.827 − 12.377 − 1.898 1.424
NDVI 11.793 9.081 − 6.729 − 7.644 − 11.883 − 12.180
Temperature − 4.461 − 5.420 − 6.343 − 23.744 − 6.642
Rainfall − 3.717 − 7.575 − 2.211 16.960 0.043 6.329
Population density − 40.272 − 477.199 − 470.841 − 0.880 15.585
Distance to the river 1.840 − 0.228 1.345 − 3.773 − 0.473
Distance to the highway − 1.227 0.054 − 2.143 1.427 − 1.501
Distance to the railway 1.244 2.279 2.219 5.579 − 0.235 − 7.914
Distance to the local road − 1.227 0.872 0.129 16.926 − 15.335 6.226
Distance to administrative center − 0.528 − 4.071 1.252 1.327 − 1.079
Constant 0.000 − 1.079 7.405 31.098 14.777 − 6.372
ROC value 0.930 0.968 0.897 0.953 0.937 0.990