Abstract: Against the backdrop of comprehensive advancement in national territorial spatial planning, traditional landscape architecture design methodologies struggle to adapt to the differentiated spatial contexts and planning management requirements across diverse settings. Beyond considering aesthetics and functionality, design efforts must now anchor themselves within the national territorial spatial planning framework, treating it as a statutory basis to ensure seamless alignment with spatial use control requirements. To this end, this study aims to explore a synergistic landscape architecture classification design approach to enhance the precision and implementation effectiveness of spatial governance. This study proposes the “Spatial Scenario Response Method.” By selecting four typical spatial scenarios—rural landscape zones, industrial parks, residential areas, and commercial plazas—and conducting empirical research through case studies in northern Guangdong's mountainous regions, Guangdong industrial parks, and the Pearl River Delta waterfront areas, it systematically constructs a design methodology based on scenario characteristics, functional requirements, and planning constraints. Findings indicate: (1) Rural spaces require a synergistic strategy centered on “ecological restoration-industrial linkage-cultural revitalization” to effectively promote urban-rural integration; (2) Industrial scenarios should establish a tripartite technical matrix of “pollution isolation-sponge systems-microclimate regulation” to enhance regional environmental resilience; (3) Mixed-use residential-commercial zones must coordinate three-dimensional objectives of “safety foundation-vitality efficiency-cultural identity” to integrate functional complexity with humanistic care. This research validates the applicability and effectiveness of the “Spatial Scenario Response Method,” emphasizing the importance of aligning design with overarching planning objectives and constraints. It provides a technical pathway for land resource allocation and advances landscape architecture design toward a planning-based, scenario-oriented system support transformation.