Spatial structure forms the framework of landscape design, determining the organisation of landscape elements and playing a pivotal role in both designing and evaluating landscape spatial morphology. This study develops a multidimensional quantitative framework for analysing and visualizing the spatial structures of urban parks, integrating 3D point cloud data, ArcGIS, and Cytoscape-based network modelling. Thirty comprehensive urban parks were examined as case studies to identify the characteristic organization and spatial logic underlying different structural types. Six key indicators ‒ structural extensibility, connection density, spatial transition frequency, network centralization, spatial fragmentation, and spatial diversity ‒ were calculated to quantify spatial hierarchy, compactness, and heterogeneity. The analysis revealed that distinct organizational patterns, such as linear, looped, and hierarchical types, exhibit specific threshold ranges of these indicators, reflecting differentiated modes of spatial clustering and circulation logic. At the overall level, variations in network centralization and fragmentation correspond closely to different layout typologies (e. g., zonal, uniform, centralized). These findings demonstrate that the spatial organization of urban parks exhibits measurable regularities that bridge the gap between qualitative design concepts and quantitative spatial logic. The proposed framework not only enhances the precision of structural analysis but also establishes a data-driven foundation for evaluating, comparing, and optimizing landscape spatial configurations in future generative or parametric design applications.