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EFFECTS OF CHANGING SCALES ON LANDSCAPE PATTERNS AND SPATIAL MODELING UNDER URBANIZATION
Journal of Environmental Engineering and Landscape Management ( IF 1.0 ) Pub Date : 2020-03-23 , DOI: 10.3846/jeelm.2020.12081
Jinming Yang 1 , Shimei Li 1 , Jingwei Xu 2 , Xiaojie Wang 3 , Xiaoguang Zhang 4
Affiliation  

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.

中文翻译:

城市化下尺度变化对景观格局和空间建模的影响

空间尺度是景观格局相关分析中一个永恒的话题。本文利用一系列样本块研究了青岛市景观格局变化的空间尺度效应及其与城市化指标的关系。结果表明,随着块规模的增加,块内的平均斑块密度和聚集度降低,而多样性增加。此外,扩大的尺度放大了景观指标的平均变化率,消除了沿城乡梯度的局部剧烈变化和区域变化趋势,这在更精细的街区尺度上会很明显。同时,GWR(Geographically Weighted Regression)模型调整后的R2随着区块大小的增加而增加,尤其是当区块规模从1km变为5km时。
更新日期:2020-03-23
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