# Replication code and data for: Tracking green space along streets of world cities

# Replication code and data for: Tracking green space along streets of world citiesBy Giacomo Falchetta and Ahmed T. HammadPreprint: https://doi.org/10.21203/rs.3.rs-3916891/v1 To replicate the analysis, the results, and the figures of the paper: Download input data from this Zenodo repository *Optional steps* (processed output data are already available in this Zenodo repository): Run [lines 1-7] of workflow/sourcer.R Run the .js scripts in Google Earth Engine (training_data_sentinel_gee.js, training_data_era5_gee.js, training_data_lc_gee.js, training_data_pop_gee.js, prediction_data_gee.js) and complete the export to Drive tasks to generate the output .csv files Run workflow/sourcer.R [from line 9-37] 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 workflow/on_demand_gvi_estimator.R Define your custom set of coordinate points in [line 41] of the script workflow/sourcer.R Run workflow/sourcer.R [line 42] to make on-demand urban green space GVI estimation and visualize results