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Geographically weighted regression modeling of spatial and temporal evolution characteristics of urban-rural landscapes

By: Jingyi Wang1, Yan Song2, Haozhong Yang1, Han Li3, Minglan Zhou4,5
1School of Architecture, Xi’an University of Architecture & Technology, Xi’ an, Shaanxi, 710055, China
2Survey Institute, Shaanxi Land Engineering Construction Group, Xi’ an, Shaanxi, 710065, China
3CSCES AECOM CONSULTANTS CO., LTD., Lanzhou, Gansu, 730000, China
4School of Housing, Building and Planning, Universiti Sains Malaysia, Gelugor, Penang, 11800, Malaysia
5School of Art, Lanzhou University of Finance and Economics, Lanzhou, Gansu, 730000, China

Abstract

Ecological land use is crucial to the sustainable development of urban areas. This study takes the ecological land in three counties and cities of Baiyangdian in North China as the object, and adopts the methods of land-use dynamic attitude, remote sensing image interpretation, land-use transfer matrix, Moran’s index and geographically weighted regression model to statistically analyze the spatial and temporal evolutions and spatial differentiation laws of each ecological land, and to quantitatively describe and detect the changes of landscape structural characteristics in different time periods. The results show that: from 2014 to 2019, the total area of cultivated land decreased slightly, the area of forest and grassland increased gradually, and the area of construction land increased substantially. In terms of the overall landscape type structural transformation, it mainly occurs between cropland, forest and grassland, and construction land.The difference in the area of forest land increases in 2014-2024, and the diversity and complexity of ecosystems increase.