{uitk} is a package to go along with the Urban Informatics Toolkit (U), an open text for the Northeastern Course SPPUA 5262 Big Data for Cities. The package contains datasets in the online text as well as a number of tutorials to accompany the code examples in the book.
This package does not yet exist on CRAN and must be installed directly from Github.
remotes::install_github("josiahparry/uitk")
- Substantive readings
- Technical readings
- Read UITK Ch. 2: This chapter will introduce you to R, and the RStudio IDE.
- Install R
- Install RStudio
- Pre-course survey
- Substantive readings
- Technical readings
- Tidyverse style guide chapters 1 and 2
- UITK:
- Lander: Chapters 1, 2, 4, 5.1, 6
- Substantive readings
- Technical readings
- Lander: Chapters 3, 7, 15.1
- Tidy Data, Wickham
- UITK:
- Substantive readings
- Technical readings
- Substantive readings
- Technical readings
- Substantive readings
- O’Brien 2018 The Urban Commons Chapter 2: Through pg. 65 and 85-90 required; summary sections for the rest of the chapter will suffice.
- Technical readings
- Substantive readings
- Culhane et al. (2007). “Testing a typology of family homelessness based on patterns of public shelter utilization in four U.S. jurisdictions”
- Bowden et al. (2020). “Case identification of mental health and related problems in children and young people using the New Zealand Integrated Data Infrastructure.”
- And peruse Actionable Intelligence for Social Policy.
- Technical readings
- Lander: Chapters 11.2, 12.1
- UITK:
- R4DS - Grouped summarise with summarise()
- Substantive readings
- Technical readings
- Substantive readings
- Technical readings
- Substantive readings
- Technical readings
- Lander: Chapter 15.2
- UITK - Statistics
- Substantive readings
- Technical readings
- Lander: Chapter 15.3
- Substantive readings
- Technical readings
- Substantive readings
- Technical readings