# Replication code and data for: Global urban green space is shrinking

# Replication code and data for: Global urban green space is shrinking<br> By Giacomo Falchetta and Ahmed T. Hammad To replicate the analysis: Download input data from https://doi.org/10.5281/zenodo.8001677 <strong>*Optional steps*</strong> (processed output data are already available in this Zenodo repository): Run [lines 1-5] of <code>workflow/sourcer.R</code> Run the <em>.js</em> scripts in Google Earth Engine (<code>training_data_sentinel_gee.js, training_data_era5_gee.js, training_data_lc_gee.js, training_data_pop_gee.js, prediction_data_gee.js</code>) and complete the export to Drive tasks to generate the output .csv files Run <code>workflow/sourcer.R</code> [lines 9-31] to train the ML model and make predictions (including figures and tables replication) To make on-demand urban green space GVI estimation for user-inputed coordinate points: Configure the rgee package on your local computer Update your Google Earth Engine-enabled email in [line 7] of the script <em>workflow/on_demand_gvi_estimator.R</em> Define your custom set of coordinate points in [line 35] of the script <em>workflow/sourcer.R</em> Run <em>workflow/sourcer.R</em> [line 36] to make on-demand urban green space GVI estimation and visualize results Manuscript under peer review.