Nces. Except for 2016, there were no High-Low cities. There were 5Nces. Except for 2016,

Nces. Except for 2016, there were no High-Low cities. There were 5
Nces. Except for 2016, there have been no High-Low cities. There had been five cities in other years, which have been distributed within the Gansu, Hebei, Jiangsu, and Henan provinces. It could be observed that the spatial distribution of human settlements according to air excellent in Chinese cities is far more dependent, along with the number of cities substantially dependent is progressively escalating. The number of Not Significant cities steadily decreased from 199 to 152 (Figure five).Land 2021, 10,tion area was large. The number of Low-High clusters was smaller, with 1 cities every single year, primarily distributed in the Anhui and Jiangsu provinces. Except for 2016, there were no High-Low cities. There have been 5 cities in other years, which were distributed in the Gansu, Hebei, Jiangsu, and Henan provinces. It might be seen that the spatial distribution of human settlements according to air good quality in Chinese cities is a lot more dependent, plus the num12 of 22 ber of cities significantly dependent is gradually increasing. The number of Not Considerable cities progressively decreased from 199 to 152 (Figure five).2018 2017 2016 2015 2014 2013 0 50 High-High cluster Low-Low cluster one MPEG-2000-DSPE Description hundred 150 High-Low cluster Not important 200 250 300 Low-High clusterFigure five. Statistics on the number of Local Moran’s of cities from 2013 to 2018. Figure 5. Statistics around the quantity of Neighborhood Moran’s IIof cities from 2013 to 2018.Based on the spatial-temporal evolution ofof urban human settlements from 2013 According to the spatial-temporal evolution urban human settlements from 2013 to 2018 (Figure 6), the spatial pattern remains unchanged as a entire, complete, but some areas to 2018 (Figure 6), the spatial pattern remains unchanged as a but some locations transform betweenbetween differentLocal spatial spatial autocorrelation shows that the spots”spots” alter unique years. years. Neighborhood autocorrelation shows that the “cold “cold with low levels levels of human settlements are continuously distributed within the North China with low of human settlements are constantly distributed in the North China Plain in time and space, whilewhile the “hot spots” citiescontinuously distributed in Southern Plain in time and space, the “hot spots” cities are are constantly distributed in SouthChina. Due Due tonatural factors, a sizable significant number of High-High agglomeration have ern China. for the the natural factors, several High-High agglomeration cities cities been distributed in the Guangdong, Guangxi, Zhejiang, Fujian, and Yunnan provinces, and happen to be distributed in the Guangdong, Guangxi, Zhejiang, Fujian, and Yunnan provscattered into a entire. On account of theDue towards the low urban and population density and significantly less inces, and scattered into a whole. low urban economy economy and population density energy consumption, Heilongjiang features a low score in human settlements where human and much less energy consumption, Heilongjiang has a low score in human settlements exactly where variables affect urban air top quality. excellent. As a result of the guidance of policy along with the improvehuman elements affect urban air Because of the guidance of policy and the improvement of environmental protection awareness, the agglomeration of High-HighHigh-High cities is ment of environmental protection awareness, the agglomeration of cities is becoming increasingly obvious plus the number of cities is alsocities is also In the sameAt the Lowbecoming increasingly obvious and the number of increasing. increasing. time, same Low cities are also steadily increasing, spreading from Beijing, Tianji.