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

*CHECK THE UPDATED VERSION CONTAINING OUTPUT DATA FOR 358 WORLD CITIES* https://zenodo.org/records/15624204 #### # Replication code and data for: Tracking green space along streets of world citiesFalchetta, G., & Hammad, A. T. (2025). Tracking green space along streets of world cities. Environmental Research: Infrastructure and Sustainability. https://doi.org/10.1088/2634-4505/add9c4 To replicate the analysis, the results, and the figures of the paper: Download input data from this Zenodo repository and code from Github https://github.com/giacfalk/urban_green_space_mapping_and_tracking *Optional data extraction steps* (processed output data are already available in the Zenodo repository): Adjust your working directory Run [lines 4-11] of workflow/sourcer.R Run the Javascript scripts written by the string_generator_training.R and string_generator_prediction.R files in Google Earth Engine (https://code.earthengine.google.com) and complete the export to Drive tasks to generate the output .csv files Run workflow/sourcer.R [lines 15-46] to train the ML model and make predictions (including figures and tables replication)