期刊论文

Chang Ren

英文

ISPRS International Journal of Geo-Information

2220-9964

2022

11

5

281-

10.3390/ijgi11050281

Conceptualization, Shiwei Shao and Jing Tian; methodology, Jing Tian and Chang Ren; software, Yimin Huang and Yiheng Wang; validation, Shiwei Shao, Mengting Yu and Chang Ren; formal analysis, Shiwei Shao and Mengting Yu; investigation, Mengting Yu and Yimin Huang; resources, Shiwei Shao and Jing Tian; data curation, Shiwei Shao; writing—original draft preparation, Mengting Yu; writing—review and editing, Shiwei Shao and Jing Tian; visualization, Yimin Huang; supervision, Shiwei Shao and Jing Tian; project administration, Jing Tian; funding acquisition, Shiwei Shao All authors have read and agreed to the published version of the manuscript. This research was under the project Research on industrial evolution analysis and spatial optimization strategy based on urban residents’ behavioral decision, supported by the Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation (grant number KF-2021-06-093) from Chinese Ministry of Natural Resources. It was alsosupported by Natural Science Foundation of China under grant number 41701439.

本校为第一机构

In this study, we investigate the urban landscape patterns in Wuhan, China based on the land use data in the vector format. Using the approach of landscape metric analysis, we calculate forty-four vector-based landscape metrics and then reduce redundant ones through a combination of Spearman correlation analysis and factor analysis, in order to extract a core set of characterizing landscape metrics. We find that the urban landscape can be depicted by six factors including the overall shape and diversity, mean proximity, overall area variation, fragmentation variation, elongation variation, and...