<p dir="ltr">Raw dataset of bibliometric analysis describing computational workflow in landscape architecture and architecture with focus on evironmental parameters. This study investigates the scope of computational design and environmental parameter integration within landscape architecture and planning. Employing a structured scoping review and scientometric co-word analysis of literature published between 2010 and 2025, the research maps relationships between spatial scales, environmental metrics, and digital workflows. The results indicate a significant bias toward the built environment, where BIM/BEM and parametric tools are predominantly used for energy and comfort optimisation at the building and urban block levels. Conversely, ecological and hydrological systems are largely relegated to analytical roles within GIS frameworks rather than serving as active drivers for design optimisation. The findings highlight a critical gap in computational tools for green-blue infrastructure, which currently hinders the effective integration of landscape parameters into BIM/BEM simulation and further application in Life Cycle Assessments (LCA).</p>
