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An open-data, open-source model to estimate urban green space and its temporal evolution globaly

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

By Giacomo Falchetta and Ahmed T. Hammad

Manuscript under peer review, preprint: https://doi.org/10.21203/rs.3.rs-3916891/v1

To replicate the analysis:

  • Download input data from https://doi.org/10.5281/zenodo.12504988
  • Optional 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 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)

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An open-data, open-source model to estimate urban green space and its temporal evolution globaly

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