Work Description

Title: Online supplementary information: Appendix A for Urban Agriculture - Good for People, Places, and Planet? Open Access Deposited

h
Attribute Value
Methodology
  • This work is a synthesis of remote sensing and spatial analysis, based largely on secondary data found online. The primary purpose of this deposit is to share replicable methods, so much more detail can be found in the attached files.
Description
  • Most of this deposit is composed of a step-by-step explanation of how to replicate the work conducted in Chapters 2 and 5 of my dissertation (available in DeepBlue Documents under the title Urban Agriculture: Good for People, Places, and Planet?). Very little actual data is catalogued here, instead largely relying on links to the secondary datasets online. In fact, this is an intentional choice, since any replication would likely want updated data to produce more real-time results. This deposit is intended to accompany the dissertation and may not be the final version of these two manuscripts or their associated methods. For more up-to-date methods and analysis, please search Google Scholar or your affiliated library for Jason Hawes and some combination of keywords including urban agriculture, scaling-up, tradeoffs, or the names of the cities in question.
Creator
Creator ORCID iD
Depositor
Contact information
Discipline
Funding agency
  • National Science Foundation (NSF)
Keyword
Date coverage
  • 2020-01-01 to 2024-01-01
Related items in Deep Blue Documents
Resource type
Last modified
  • 10/09/2024
Published
  • 08/15/2024
Language
DOI
  • https://doi.org/10.7302/dzf2-ka93
License
To Cite this Work:
Hawes, J. K. (2024). Online supplementary information: Appendix A for Urban Agriculture - Good for People, Places, and Planet? [Data set], University of Michigan - Deep Blue Data. https://doi.org/10.7302/dzf2-ka93

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Files (Count: 1; Size: 19.6 MB)

Thumbnailthumbnail-column Title Original Upload Last Modified File Size Access Actions
Appendix_A_SI-2024-07-25.zip 2024-07-25 2024-07-25 19.6 MB Open Access

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