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GIS-Based Optimization of Urban Green Space Plant Configuration and Spatial Pattern

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  • Yulan Wei

    (Chengdu Vocational and Technical College of Industry, China)

Abstract

To address urban green space planning challenges amid urban modernization, this study optimizes the plant configuration and spatial patterns of urban green spaces in Gansu from a landscape ecology perspective by using GIS and CAD technologies. Remote-sensing images were processed via GIS10.0 and ENVI4.3 to establish a plant type database, while spatial syntax and CAD were applied to support axis model construction and index analysis. Key indices (diversity, patch, equilibrium, fragmentation) guided the optimization. Results show that GIS improved the accuracy of plant configuration from 56.1% to 87.7%. The proportion of native tree species was adjusted to 70.1%-74.4% by introducing several highly adaptable exotic tree species, which effectively enhanced plant diversity. The total urban garden green space area expanded from 52.94 to 132.15 km2, and per capita green space increased from 8.63 to 16.09 m2. This integrated technological approach enhances the rationality and coverage of green spaces as well as their ecological and societal benefits.

Suggested Citation

  • Yulan Wei, 2026. "GIS-Based Optimization of Urban Green Space Plant Configuration and Spatial Pattern," International Journal of Agricultural and Environmental Information Systems (IJAEIS), IGI Global Scientific Publishing, vol. 17(1), pages 1-22, January.
    • Handle: RePEc:igg:jaeis0:v:17:y:2026:i:1:p:1-22
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