Bit (1 nat 1.44 bits). A total of 36 bins with all the same size

Bit (1 nat 1.44 bits). A total of 36 bins with all the same size were divided for Street frequency statistics, with each bin having a selection of 10 . Each and every bin was shifted by -5 to ensure that the values are distributed in the center of the bin [29]. The Lomitapide-d8 manufacturer orientation angles of every street segment were calculated and counted in the corresponding bin. The histogram and rose illustration were obtained, employing OSMnx, on the basis from the frequency of street segments inside the bin. The entropy with the street orientations was calculated by using Equation (three). One example is, a street network in Beijing (Figure 2A) was used to calculate the street orientation histogram and rose illustration, as shown in Figure 2B,C, respectively. From Equation (three), the highest value of your street network orientation entropy is equal for the logarithm in the number of bins n. At this moment, P(o1) = P(o2) = = P(on); that is, the entropy of the street orientations is distributed perfectly in all of the bins. In the event the number of bins is 36, then the highest entropy with the street orientation Hmax might be three.584 nats. When each of the street orientations are positioned in the very same bin, the entropy with the street orientation may have the lowest value of 0. The Journal Abbr. 2022, 11 FOR PEER Critique three entropy of your street orientation HG is 1.386 nats when all the streets are distributed in equal ISPRS Int. J. Geo-Inf. 2022, 11, 0 three of three proportions inside the bins within the east outh est orth directions from the rose illustration.Corrected:Figure 2. (A) Street network in Beijing. (B) orientation histogram of histogram Figure 2. (A) Street in Beijing. (B) Street orientation of Beijing, where the Figure two. (A) Street network network in Beijing. (B) StreetStreet orientation verticalBeijing, where the hori- Beijing, where the histogram of horizontal coordinates indicate the orientation and also the vertical coordinates indicate zontal coordinates indicate the orientation angles,angles, plus the coordinates indicate the fre- the frequency street falling into orientation angles orientation rose illustration coordinates indicate the quency indicate the the the corresponding bin. (C) and the vertical of Beihorizontal coordinates of aof a street falling intocorresponding bin. (C) StreetStreet orientation rose illustration of jing, where the the outer sidethe the circle represents the street orientation, and also the inner data would be the Beijing, where outer side of of circle represents the street orientation, plus the inner data will be the very same as the vertical coordinate in (B). frequency of a street falling into the corresponding bin. (C) Street orientation rose illustration of very same as the vertical coordinate in (B). Beijing, where the outer side on the circle represents the street orientation, plus the inner data would be the Reference ReferenceN.; Jiang, L.; Chao, Y.; coordinate in of Relief 1.exact same because the vertical Li, Y.; Liu, P. Influence (B). Degree of Land CD2314 RAR/RXR Surface on Street Network Complexity in China. Yang, 1.ISPRS Int. Jiang, L.; Chao, ten, 705. ten.3390/ijgi10100705.of Land Surface on Street Network Complexity in China. Yang, N.; J. Geo-Inf. 2021, Y.; Li, Y.; Liu, P. Influence of Relief Degree ISPRS Int. J. Geo-Inf. 2021, ten, 705. [CrossRef]ISPRS Int. J. Geo-Inf. 2021, 10,6 of4. Outcomes 4.1. Spatial Distribution Characteristics of RDLS Equation (1) was applied to calculate RDLS at the municipal levels, which ranged from 0 to 17.7. The result presented evident regional differences and also a clear stair-stepping characteristic within the east.