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Dynamic Changes Analysis and Hotspots Detection of Land Use in the Central Core Functional Area of Jing-Jin-Ji from 2000 to 2015 Based on Remote Sensing Data

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  • Yafei Li
  • Gaohuan Liu
  • Chong Huang

Abstract

The article uses GIS spatial analysis and grid technologies to study the dynamic changes, hotspot regions, and driving forces in land use of the central core functional area of Jing-Jin-Ji. The research results are as follows: from 2000 to 2015, the main types of land use in the central core functional area of Jing-Jin-Ji are cultivated land, woodland, and built-up land. In the period of 2005–2010, the transfer between built-up land and cultivated land was frequent. The dynamic degree of single land use in unused land was highest. It also finds out that the dynamic degree of the integrated land use from 2005 to 2010 was higher. The center of gravity transfer of the dynamic degree of integrated land use was concentrated in research area. As for the hotspots, their number and scope are increasing, and the positions located in the edge of original main urban area and developed transportation network. The main characteristics of land use dynamic change in the study area are the rapid decrease of cultivated land area and rapid growth of built-up land. The spatial agglomeration of economic factors caused by human activities has an important influence on the spatial and temporal dynamic changes of land use.

Suggested Citation

  • Yafei Li & Gaohuan Liu & Chong Huang, 2017. "Dynamic Changes Analysis and Hotspots Detection of Land Use in the Central Core Functional Area of Jing-Jin-Ji from 2000 to 2015 Based on Remote Sensing Data," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-16, May.
  • Handle: RePEc:hin:jnlmpe:2183585
    DOI: 10.1155/2017/2183585
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    Cited by:

    1. Xiao, Rui & Yu, Xiaoyu & Xiang, Ting & Zhang, Zhonghao & Wang, Xue & Wu, Jianguo, 2021. "Exploring the coordination between physical space expansion and social space growth of China’s urban agglomerations based on hierarchical analysis," Land Use Policy, Elsevier, vol. 109(C).

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