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

Falchetta, G. ORCID: https://orcid.org/0000-0003-2607-2195 & Hammad, T.A. (2024). # Replication code and data for: Tracking green space along streets of world cities. 10.5281/zenodo.13886667.

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Abstract

# 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 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)

Item Type:	Data
Additional Information:	Creative Commons Attribution 4.0 International
Research Programs:	Energy, Climate, and Environment (ECE) Energy, Climate, and Environment (ECE) > Integrated Assessment and Climate Change (IACC)
Depositing User:	Luke Kirwan
Date Deposited:	09 Jan 2025 14:01
Last Modified:	09 Jan 2025 14:01
URI:	https://pure.iiasa.ac.at/20311

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