Replication data: Street green space is relevant but not sufficient for adapting to growing urban heat in world cities

URGED Input Data Repository Description This dataset contains all input data required to replicate the analysis workflow of the URGED (URban mitigation and adaptation strategies Gauging through Empirical functions and Data products) project. The data supports a comprehensive analysis of urban green space (UGS) impacts on heat mitigation across 357 cities globally. Contents The repository includes: Urban Green Space (UGS) data: Point-level Green View Index (GVI) measurements from street-view imagery (2011-2016) for 357 cities worldwide Local Climate Zone (LCZ) classifications: Urban form typologies (compact, open, lightweight, etc.) at spatial resolution Climate data: Temperature, humidity, and thermal comfort metrics from URBCLIM and other sources Geographic data: City boundaries, administrative regions, and coordinate systems from Global Human Settlement Layer (GHSL) Köppen-Geiger climate classifications: Climate zone assignments for all analyzed cities Land Surface Temperature (LST): Satellite-derived temperature measurements Population data: Spatially-explicit population distributions by city and urban form Scope Spatial coverage: 357 cities globally across all continents (except Antarctica) Climate zones: Tropical (A), Dry (B), Temperate (C), and Continental (D) Köppen-Geiger zones Temporal coverage: Primary UGS data from 2011-2016; climate projections extend to 2100 Resolution: Point-level UGS data; gridded climate data at various resolutions Related Resources Code repository: https://github.com/giacfalk/URGED Analysis scripts: R-based workflow for data processing, statistical analysis, and visualization Citation When using this dataset, please cite both the data repository and any associated publications.