Complexity 2020:1-13 (2020)
Abstract |
The high-resolution regional division of mountainous area types has important scientific significance for promoting precise management of land space and regional sustainable development. At present, the classification method of mountainous area types is mainly at the county level and above, while classifications for towns and villages are nearly nonexistent, which poses a technical challenge for rural revitalization and the construction of ecological civilization in mountainous areas. We used Yuxi city, Yunnan Province, as the target area of this research, which was based on GIS technology and Digital Elevation Model data and socioeconomic environmental monitoring data. The most appropriate statistical unit for topographic relief was defined, and the study area was divided into six mountain types: flatlands, hills, low mountains, medium-low mountains, midmountains, and subhigh mountains. Based on the township scale, an index system and classification method dominated by the plain comprehensive index were established to carry out mountain area classifications at township scales. The 75 towns of Yuxi city can be classified into 27 plain towns, 23 mountain-plain towns, and 25 mountain towns from an empirical application perspective, which can provide strong data support and a reference basis for studying the evolution characteristics of land use in different geographical spaces and their interrelationships as well as differentiated land space planning and governance.
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DOI | 10.1155/2020/3484568 |
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References found in this work BETA
Simulating Intraurban Land Use Dynamics Under Multiple Scenarios Based on Fuzzy Cellular Automata: A Case Study of Jinzhou District, Dalian.Jun Yang, Weiling Liu, Yonghua Li, Xueming Li & Quansheng Ge - 2018 - Complexity 2018:1-17.
Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes.Andong Guo, Yuqing Zhang & Qing Hao - 2020 - Complexity 2020:1-12.
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