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Gerardo Ezequiel Martín Carreño
Urban heat, material flows and spatial methods, connected through research software and critical cartography.
me@gerardoezequiel.xyz · gerardoezequiel.xyz · linkedin.com/in/gerardoezequiel · London
Shaping Cool Cities
MSc research across six European study areas, with voxel models and comparative research figures; model validation is being rebuilt.

I built a Python pipeline joining Landsat temperature and vegetation, VoxCity 3D city models, Urbanity street networks, Global Streetscapes image semantics and EUBUCCO footprints. I generated voxel models for Amsterdam, Athens, Barcelona, Berlin, Madrid and Paris, and comparative figures for the research presentation. Exploratory XGBoost models and SHAP helped inspect associations. A later audit identified problems in the temperature target and spatial folds; I am rebuilding those stages before publishing performance claims.
I built a Python pipeline joining Landsat temperature and vegetation, VoxCity 3D city models, Urbanity street networks, Global Streetscapes image semantics and EUBUCCO footprints. I generated voxel models for Amsterdam, Athens, Barcelona, Berlin, Madrid and Paris, and comparative figures for the research presentation. Exploratory XGBoost models and SHAP helped inspect associations. A later audit identified problems in the temperature target and spatial folds; I am rebuilding those stages before publishing performance claims.
- An integrated 40,344-cell dataset and voxel models for Amsterdam, Athens, Barcelona, Berlin, Madrid and Paris.
- Comparative 3D figures and a visual research presentation explaining the study areas and input sources.
- Public PMTiles maps and a source manifest for inspecting selected research inputs.
- An audit documenting target, coordinate-feature and spatial-fold defects to resolve before publishing performance.
Where the work stands: Model validation is being rebuilt after my own re-audit found problems in the temperature target and in how the spatial cross-validation folds were separated. Until that work is finished, no model score, explanation or cooling scenario here is a validated claim.
CityLoops: Urban Circularity Assessment
Co-authored a city-scale material-flow and stock method with 18 indicators, designed for facilitated application in five pilots.

At Metabolism of Cities, I co-developed and co-authored D4.4, the Urban Circularity Assessment Method, as one of four named authors. We combined material-flow accounts for two reference years with bottom-up building-stock accounting and 18 indicators. The method specified Sankey and dashboard outputs for facilitated application in Apeldoorn, Bodø, Mikkeli, Porto and Seville. I also developed CARTO maps of building material-stock estimates for Apeldoorn and Bodø, making the stock analysis explorable at building scale. I supported application across the five pilots, built Sankey and CARTO outputs and managed two analysts.
At Metabolism of Cities, I co-developed and co-authored D4.4, the Urban Circularity Assessment Method, as one of four named authors. We combined material-flow accounts for two reference years with bottom-up building-stock accounting and 18 indicators. The method specified Sankey and dashboard outputs for facilitated application in Apeldoorn, Bodø, Mikkeli, Porto and Seville. I also developed CARTO maps of building material-stock estimates for Apeldoorn and Bodø, making the stock analysis explorable at building scale. I supported application across the five pilots, built Sankey and CARTO outputs and managed two analysts.
- Named as one of four authors of CityLoops deliverable D4.4, Urban Circularity Assessment Method.
- Ten scale indicators and eight circularity indicators, paired with material-flow and bottom-up building-stock accounts.
- Public CARTO maps of building material-stock estimates in Apeldoorn and Bodø, with building typology and age-cohort views.
- A documented path from data collection and mass balancing to Sankey diagrams, indicators and a city dashboard, prepared for five pilot cities.
Where the work stands: The method and maps estimate urban flows and stocks from available evidence; they do not audit every tonne or survey the materials in each building. The Apeldoorn map credits 3DBAG building data and material intensities from Sprecher and colleagues. The two maps do not establish delivery of every proposed dashboard across all five pilots.
CENTRINNO: Urban Ecosystem Cartography
Co-authored urban-resource cartography for a nine-pilot European project.
At Metabolic, I co-authored D2.2, the Cartography Alpha Version, as one of six named authors. I helped shape a method connecting geographic context, community mapping and material flows. The report documents a clickable three-page website mock-up using Amsterdam as its example, alongside KUMU maps.
At Metabolic, I co-authored D2.2, the Cartography Alpha Version, as one of six named authors. I helped shape a method connecting geographic context, community mapping and material flows. The report documents a clickable three-page website mock-up using Amsterdam as its example, alongside KUMU maps.
- Named as one of six authors of CENTRINNO deliverable D2.2, Cartography Alpha Version, submitted on 31 January 2022.
- A common method connecting geospatial context, community mapping and material flows.
- Prepared KUMU maps, and a clickable three-page Amsterdam website mock-up as the worked example.
- A method diagram that separates the external Cartography Website from the internal KUMU platform, with top-down and bottom-up data meeting at pilot activities.
Where the work stands: D2.2 documents the 2021–2022 alpha scope. The public website has evolved since then and includes later pilot material produced by the wider programme. “Urban ecosystem” refers to resources, infrastructure and social relationships, rather than a biodiversity survey.
Social Superblocks
A spatial allocation method exploring how Barcelona’s home-care service could be organised around connected neighbourhood areas.

For my double master’s thesis at UPC and my internship at BCNecologia, Barcelona’s urban ecology agency, I developed a territorial proposal for the city’s home-care service within the Superilles Socials programme. I grouped mobility superblocks around access to neighbourhood services, then aggregated blocks into functional care areas that targeted 1,400–1,800 monthly service hours; the thesis records the areas that fall outside that target. I characterised the proposal with indicators of demographic and economic vulnerability and of urban context.
For my double master’s thesis at UPC and my internship at BCNecologia, Barcelona’s urban ecology agency, I developed a territorial proposal for the city’s home-care service within the Superilles Socials programme. I grouped mobility superblocks around access to neighbourhood services, then aggregated blocks into functional care areas that targeted 1,400–1,800 monthly service hours; the thesis records the areas that fall outside that target. I characterised the proposal with indicators of demographic and economic vulnerability and of urban context.
- A thesis record in the Universitat Politècnica de Catalunya institutional repository, under its original Spanish title; the full text is restricted by the author.
- A two-scale territorial proposal: morphological grouping of mobility superblocks and functional aggregation of blocks for home-care planning.
- 26 indicators: 13 for demographic and economic vulnerability and 13 for urban context.
- The original proposed-boundary map on thesis page 29, with its legend, district labels, scale and north arrow retained.
- A second thesis map, page 31, shading each proposed area by home-care service hours against the 1,400 to 1,800 monthly target: under, within or over.
Where the work stands: The case documents a research method. It does not establish that Barcelona adopted the model as its final allocation or that it independently improved care outcomes.