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  • Online supplementary information: Appendix A for Urban Agriculture - Good for People, Places, and Planet?

    work
    Creator:
    Hawes, Jason K
    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.
    Keyword:
    urban agriculture, tradeoffs, remote sensing, and multi-criteria analysis
    Discipline:
    Social Sciences

  • Estimating Student Capital of Community College Student Populations

    work
    Creator:
    Quarles, Christopher L.
    Description:
    Student capital is the set of skills, traits, and resources that an individual can draw upon to be successful in school. With dropout rates around 50%, community college students often don't have enough student capital to achieve their goals. The R code in this dataset estimates the average student capital of a group of community college students using data on their total credits and academic outcomes. It also contains R code to create figures, as found in the paper "The Shape of Educational Inequality" by Quarles, Budak & Resnick.
    Keyword:
    education, community college, and maximum likelihood estimation
    Citation to related publication:
    Quarles, C. L., Budak, C., Resnick, P. (2020). The shape of educational inequality. Science Advances. 6(29).  https://doi.org/10.1126/sciadv.aaz5954
    Discipline:
    Social Sciences