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

Falchetta, G. ORCID: https://orcid.org/0000-0003-2607-2195 & Hammad, T.A. (2023). # Replication code and data for: Global urban green space is shrinking. 10.5281/zenodo.8001676.

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Abstract

# Replication code and data for: Global urban green space is shrinking
By Giacomo Falchetta and Ahmed T. Hammad

To replicate the analysis:

Download input data from https://doi.org/10.5281/zenodo.8001677
*Optional steps* (processed output data are already available in this Zenodo repository):
Run [lines 1-5] 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 [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 workflow/on_demand_gvi_estimator.R
Define your custom set of coordinate points in [line 35] of the script workflow/sourcer.R
Run workflow/sourcer.R [line 36] to make on-demand urban green space GVI estimation and visualize results
Manuscript under peer review.

Item Type:	Data
Additional Information:	Creative Commons Attribution 4.0 International
Uncontrolled Keywords:	monitoring, remote sensing, urban green space
Research Programs:	Energy, Climate, and Environment (ECE) Energy, Climate, and Environment (ECE) > Integrated Assessment and Climate Change (IACC)
Depositing User:	Luke Kirwan
Date Deposited:	18 Dec 2023 15:59
Last Modified:	18 Dec 2023 15:59
URI:	https://pure.iiasa.ac.at/19323

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