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Correction

Correction: Yang et al. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705

1
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
2
College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2022, 11(1), 52; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi11010052
Submission received: 15 November 2021 / Accepted: 2 December 2021 / Published: 11 January 2022
In the original publication [1], there was a mistake in Figure 2C as published. During the authors’ proofreading, in order to make changes to the formatting of the numbers in the figure based on the editor’s comments, the authors accidentally inserted the wrong figure. The corrected Figure 2 appears below. The authors apologize for any inconvenience caused and state that the scientific conclusions are unaffected. The original publication has also been updated.
Original:
Figure 2. (A) Street network in Beijing. (B) Street orientation histogram of Beijing, where the horizontal coordinates indicate the orientation angles and the vertical coordinates indicate the frequency of a street falling into the corresponding bin. (C) Street orientation rose illustration of Beijing, where the outer side of the circle represents the street orientation, and the inner data are the same as the vertical coordinate in (B).
Figure 2. (A) Street network in Beijing. (B) Street orientation histogram of Beijing, where the horizontal coordinates indicate the orientation angles and the vertical coordinates indicate the frequency of a street falling into the corresponding bin. (C) Street orientation rose illustration of Beijing, where the outer side of the circle represents the street orientation, and the inner data are the same as the vertical coordinate in (B).
Ijgi 11 00052 g001
Corrected:
Figure 2. (A) Street network in Beijing. (B) Street orientation histogram of Beijing, where the horizontal coordinates indicate the orientation angles and the vertical coordinates indicate the frequency of a street falling into the corresponding bin. (C) Street orientation rose illustration of Beijing, where the outer side of the circle represents the street orientation, and the inner data are the same as the vertical coordinate in (B).
Figure 2. (A) Street network in Beijing. (B) Street orientation histogram of Beijing, where the horizontal coordinates indicate the orientation angles and the vertical coordinates indicate the frequency of a street falling into the corresponding bin. (C) Street orientation rose illustration of Beijing, where the outer side of the circle represents the street orientation, and the inner data are the same as the vertical coordinate in (B).
Ijgi 11 00052 g002

Reference

  1. Yang, N.; Jiang, L.; Chao, Y.; Li, Y.; Liu, P. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Yang, N.; Jiang, L.; Chao, Y.; Li, Y.; Liu, P. Correction: Yang et al. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705. ISPRS Int. J. Geo-Inf. 2022, 11, 52. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi11010052

AMA Style

Yang N, Jiang L, Chao Y, Li Y, Liu P. Correction: Yang et al. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705. ISPRS International Journal of Geo-Information. 2022; 11(1):52. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi11010052

Chicago/Turabian Style

Yang, Nai, Le Jiang, Yi Chao, Yang Li, and Pengcheng Liu. 2022. "Correction: Yang et al. Influence of Relief Degree of Land Surface on Street Network Complexity in China. ISPRS Int. J. Geo-Inf. 2021, 10, 705" ISPRS International Journal of Geo-Information 11, no. 1: 52. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi11010052

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