Landscape Spatial Planning Optimization Simulation Based on Dynamic Visual Quantification
Static visual analysis often ignores the continuity and aesthetic appeal of landscape vision.To enhance the rationality of landscape spatial planning and resident satisfaction,a method for optimizing landscape spatial plan-ning was put forward based on dynamic visual quantitative analysis.Through the landscape pattern index method,the dynamic changes of landscape space were first quantitatively analyzed and then used as evaluation indicators for land-scape space.For the dynamic visual quantitative indicators,the analytic hierarchy process(AHP)and multi-level fuzzy comprehensive evaluation method were employed to obtain the evaluation results of landscape space.Based on these evaluations,an optimization objective for landscape spatial planning was established,with landscape construction costs and resident satisfaction as the objective function.Additionally,the niche genetic algorithm was utilized to find the optimal solution for the objectives.Finally,the best optimization result for landscape spatial planning was obtained.Experimental results demonstrate that the proposed method effectively optimizes the effect of landscape spa-tial planning while improving resident satisfaction.
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