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Effects of changing scales on landscape patterns and spatial modeling under urbanization

    Jinming Yang Affiliation
    ; Shimei Li   Affiliation
    ; Jingwei Xu Affiliation
    ; Xiaojie Wang Affiliation
    ; Xiaoguang Zhang Affiliation

Abstract

Spatial scale is an eternal topic in landscape pattern related analysis. This paper examined the spatial scale effect of landscape pattern changes and their relationships with urbanization indicators in Qingdao using a series of sampling blocks. The results indicated that, with the increasing block scale, the mean patch density and aggregation within a block decreased, whereas the diversity increased. Furthermore, the expanding scale amplified the mean change ratio of landscape metrics and eliminated local drastic changes and regional variation trends along an urban-to-rural gradient, which would be obvious at a finer block scale. Meanwhile, the adjusted R2 of GWR (Geographically Weighted Regression) models increased with an increasing block size, especially when the block scale changed from 1 km to 5 km. Odd-numbered block scales performed better than even-numbered block scales.

Keyword : spatial scale, block size, urbanization, landscape patterns, geographically weighted regression (GWR)

How to Cite
Yang, J. ., Li, S. ., Xu, J. ., Wang, X. ., & Zhang, X. . (2020). Effects of changing scales on landscape patterns and spatial modeling under urbanization. Journal of Environmental Engineering and Landscape Management, 28(2), 62-73. https://doi.org/10.3846/jeelm.2020.12081
Published in Issue
Mar 23, 2020
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This work is licensed under a Creative Commons Attribution 4.0 International License.

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