Prediction of the Impact of Land Usage Changes on Water Pollution in Public Space Planning with Machine Learning

Table 1

The proportion of land transfer from its usage from 2015 to 2019.

2015–2019	Construction land	Arable land	Grass	Waters	Woodland	Unused land	Total transfer land
Construction land	25.065	0.371	3.317	0.265	0.288	0.085	4.326
Proportion (%)	85.31	1.26	1.13	0.90	0.98	0.29	14.72
Arable land	58.324	558.397	0.716	1.396	56.853	3.328	122.217
Proportion (%)	8.59	82.28	1.11	0.21	8.38	0.49	18.01
Grass	0.469	0.291	0.077	0.708	1.703	0.411	3.581
Proportion (%)	12.82	7.92	2.10	19.45	46.66	11.24	97.90
Waters	0.127	0.114	0.286	3.948	5.089	5.124	7.740
Proportion (%)	1.09	0.98	2.45	33.78	43.54	18.17	66.22
Woodland	1.399	0.118	0.223	0.295	730.359	0.358	2.393
Proportion (%)	0.19	0.02	0.03	0.04	99.67	0.05	0.33
Unused land	1.221	1.029	0.114	0.042	1.274	0.227	3.680
Proportion (%)	31.25	26.34	2.92	1.08	32.61	5.81	94.19
Transfer in total	60.140	1.922	4.756	2.706	75.207	6.306
Proportion (%)	71.13	0.34	6.68	40.78	9.41	30.24