Research data and code underlying the doctoral dissertation: "Enhancing Urban Agriculture Contribution to Ecosystem Services for Sustainable Urban Transformation: Design, Evaluation, and Implementation through Landscape Approach"
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This dataset and code repository contains the empirical data, computational models, spatial analysis workflows, and evaluation instruments underlying the doctoral dissertation: "Enhancing Urban Agriculture Contribution to Ecosystem Services for Sustainable Urban Transformation: Design, Evaluation, and Implementation through Landscape Approach", defended at the Faculty of Architecture and the Built Environment, Delft University of Technology (TU Delft). 1. Dataset Overview & Content Structure:The repository is organised into three core directories corresponding to the structural parts of the dissertation:- Part_I_Theoretical_and_Policy_Analysis (Chapters 2–4): * Systematic literature review screening logs (PRISMA framework, ASReview screening, and ATLAS.ti qualitative coding files). * Multilingual policy corpus texts and the 40-keyword thematic evaluation matrix across five domains (Ecological Functionality, Social Inclusion, Governance, Spatial Integration, and Temporal Resilience) for Havana, New York City, and Chongming Island.- Part_II_Spatial_Modelling_and_Diagnostics (Chapters 5–6): * Machine-learning suitability scripts (Python, XGBoost, and SHAP interpretability pipelines) …
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