Data and analysis code for "Computational Assessment of Greenness: Objective vs. Perceived Greenness in Urban Green Spaces"

This Zenodo deposit contains all research material needed to reproduce the results reported in the manuscript “Computational Assessment of Greenness: Objective vs. Perceived Greenness in Urban Green Spaces."

Files included  1. upgs_data.csv – UPGS‑level table (UPGS ID, mean NDVI for 2024‑2025, number of greenness ratings, and the average perceived‑greenness score).  2. sensitivity_analysis.R – R script that performs the three‑threshold sensitivity analysis (≥ 2, ≥ 3, ≥ 5 ratings), computes Kendall’s τ b (with bias‑corrected accelerated bootstrap confidence intervals) and Spearman’s ρ, and outputs the results table.  3. UPGS_Greenness_perc_meas_compare.R– R script that reproduces all primary statistical analyses reported in the paper (descriptive statistics, Shapiro‑Wilk normality tests, Kendall τ b, its bootstrap CI, Spearman ρ, and generation of the figures/tables).  4. PerceivedGreennessQuestionnaire_v1_2026-02-01.pdf– Full questionnaire (German and English versions) with consent text and the four Likert items used to assess perceived greenness.  5. LICENSE.txt– Creative Commons Attribution 4.0 International (CC‑BY 4.0) license granting unrestricted reuse with attribution.  6. README.txt – Brief, human‑readable guide explaining the purpose of each file, software requirements (R ≥ 4.4.0, packages *boot* and *dplyr*), and step‑by‑step instructions for reproducing the analyses.

All files are released under CC‑BY 4.0, enabling free reuse and citation. The DOI (10.5281/zenodo.19959227) assigned to this deposit should be cited in the manuscript’s data‑availability statement.