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Dataset Overview \u0026amp; 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) and spatial predictors for Rotterdam. * Land-use simulation inputs/outputs (GeoTransformer deep learning model) and Ecosystem Service Valuation (ESV) lookup tables for 2030 and 2050 scenarios. * Spatial analysis datasets for South Holland Province, including the per-capita Provisioning Services Index (PSI), Getis-Ord Gi* hot/cold-spot statistical layers, and 3D BAG building rooftop screening spatial candidate datasets.- Part_III_Design_and_Evaluation_Instruments (Chapters 7–9): * Service-Indicator-Strategy (S-I-S) pattern library and evidence-to-design traceability matrix. * Complete instruments and anonymised response archives from the 120-minute expert–student co-creation workshop (Instruments T1–T6, transcribed decision logs, and raw capacity survey response matrices). * Multidisciplinary expert consultation evidence registers and feedback logs.\u003cbr\u003e2. Software and Environment Requirements:- Python 3.9+ (key packages: xgboost, shap, geopandas, pandas, scikit-learn, pymupdf).- QGIS 3.28 LTR or later (for spatial layers, GeoPackage, and Shapefile processing).- Standard text and spreadsheet viewers for CSV and Markdown files.\u003cbr\u003e3. File Organisation:All data files and execution scripts are archived in a structured directory accompanied by a root README.md file, which details directory trees, column definitions, unit specifications, and reproduction protocols.\u003cbr\u003e4. Funding and Acknowledgement:This research was supported by the China Scholarship Council (CSC) under Grant No. 202207720115.Supervisory team: Prof.dr.ing. S. Nijhuis and Dr. Ir. N. Tillie (Delft University of Technology).","descriptionType":"Abstract"}],"geoLocations":[{"geoLocationPlace":"Rotterdam and South Holland Province, the Netherlands","geoLocationPoint":{"pointLatitude":51.924,"pointLongitude":4.478}}],"fundingReferences":[{"awardTitle":"China Scholarship Council (CSC)","funderName":"unknown"}],"xml":"<?xml version="1.0" encoding="UTF-8"?>
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    <title>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"</title>
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    <subject>Research through Design</subject>
    <subject>sustainable urban transformation</subject>
    <subject>machine learning</subject>
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    <subject>Time: Literature corpus 2000–2024; policy documents 2004–2023; observed land-use data 2010, 2017 and 2024; regional statistics 2024–2025; expert consultation 3 July – 1 September 2025; expert–student co-creation workshop 18 June 2026. The 2030 and 2050 land-use layers are simulated scenario outputs, not observations.</subject>
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    <description descriptionType="Abstract">&lt;p&gt;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).&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;1. Dataset Overview &amp;amp; Content Structure:&lt;/p&gt;&lt;p&gt;The repository is organised into three core directories corresponding to the structural parts of the dissertation:&lt;/p&gt;&lt;p&gt;- Part_I_Theoretical_and_Policy_Analysis (Chapters 2–4):&lt;/p&gt;&lt;p&gt; * Systematic literature review screening logs (PRISMA framework, ASReview screening, and ATLAS.ti qualitative coding files).&lt;/p&gt;&lt;p&gt; * 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.&lt;/p&gt;&lt;p&gt;- Part_II_Spatial_Modelling_and_Diagnostics (Chapters 5–6):&lt;/p&gt;&lt;p&gt; * Machine-learning suitability scripts (Python, XGBoost, and SHAP interpretability pipelines) and spatial predictors for Rotterdam.&lt;/p&gt;&lt;p&gt; * Land-use simulation inputs/outputs (GeoTransformer deep learning model) and Ecosystem Service Valuation (ESV) lookup tables for 2030 and 2050 scenarios.&lt;/p&gt;&lt;p&gt; * Spatial analysis datasets for South Holland Province, including the per-capita Provisioning Services Index (PSI), Getis-Ord Gi* hot/cold-spot statistical layers, and 3D BAG building rooftop screening spatial candidate datasets.&lt;/p&gt;&lt;p&gt;- Part_III_Design_and_Evaluation_Instruments (Chapters 7–9):&lt;/p&gt;&lt;p&gt; * Service-Indicator-Strategy (S-I-S) pattern library and evidence-to-design traceability matrix.&lt;/p&gt;&lt;p&gt; * Complete instruments and anonymised response archives from the 120-minute expert–student co-creation workshop (Instruments T1–T6, transcribed decision logs, and raw capacity survey response matrices).&lt;/p&gt;&lt;p&gt; * Multidisciplinary expert consultation evidence registers and feedback logs.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;2. Software and Environment Requirements:&lt;/p&gt;&lt;p&gt;- Python 3.9+ (key packages: xgboost, shap, geopandas, pandas, scikit-learn, pymupdf).&lt;/p&gt;&lt;p&gt;- QGIS 3.28 LTR or later (for spatial layers, GeoPackage, and Shapefile processing).&lt;/p&gt;&lt;p&gt;- Standard text and spreadsheet viewers for CSV and Markdown files.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;3. File Organisation:&lt;/p&gt;&lt;p&gt;All data files and execution scripts are archived in a structured directory accompanied by a root README.md file, which details directory trees, column definitions, unit specifications, and reproduction protocols.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;4. Funding and Acknowledgement:&lt;/p&gt;&lt;p&gt;This research was supported by the China Scholarship Council (CSC) under Grant No. 202207720115.&lt;/p&gt;&lt;p&gt;Supervisory team: Prof.dr.ing. S. Nijhuis and Dr. Ir. N. Tillie (Delft University of Technology).&lt;/p&gt;</description>
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