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Na, L., Shi, Y., & Guo, L. (2023). Quantifying the Spatial Nonstationary Response of Influencing Factors on Ecosystem Health Based on the Geographical Weighted Regression (GWR) Model: An Example in Inner Mongolia, China, from 1995 to 2020. Environmental Science and Pollution Research, 30, 73469-73484.
https://doi.org/10.1007/s11356-023-26915-4

has been cited by the following article:

• TITLE: Spatial Development Intensity Research: Progress in China and Global Perspectives

  AUTHORS: Bohang Zhang, Jianguo Wang

  KEYWORDS: Spatial Development Intensity, Evaluation Indicators, Sustainable Development

  JOURNAL NAME: Journal of Service Science and Management, Vol.19 No.2, April 29, 2026

  ABSTRACT: Spatial development intensity (SDI) is widely used to evaluate land development and human activity intensity in territorial space. With rapid global urbanization and industrialization, its measurement, regulation and sustainability have attracted extensive attention. Nevertheless, inconsistent concepts, indicator systems and measurement methods have led to fragmented research. This paper reviews the conceptual evolution, indicator systems and measurement methods of SDI, and compares domestic and international research paradigms. Early studies mainly adopted single indicators, while recent studies tend to use multidimensional comprehensive systems combined with remote sensing, GIS and spatial econometric models. Challenges still exist in spatial heterogeneity, resource-environment carrying capacity and planning application. Future research should strengthen multi-source data integration, spatial modeling and planning practice to support refined regulation and sustainable development.