University of Pennsylvania Weitzman School of Design, Master of Urban Spatial Analytics Program.
Taught by Michael Fichman, Matthew Harris and the late Ken Steif.
The labs in this repo are arranged by week and mainly follows the curriculum, but we may diverge as needed. The code samples in this repo are about 85% of what you need to be able to complete the homework assignments and mid-term. With the text in these labs, our live instruction and through assignments you will learn to modify and add to this code to personalize your work.
Additional content is available in the R FAQ for Planners document which covers a wide range of frequently asked questions (FAQ) and hurdles that students face. This FAQ should be a source you turn to when you run into a problem.
Week_1- Introduction to R, Rstudio and {tidycensus} package- intro_to_R.R
- Intro_to_tidycensus.Rmd
- lab_1_2_data.csv
Week_2- {tidycensus} continued-
lab_2_2009ACS.R
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map_exercise.R
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Week_3- Working with {sf} package and mapping-
musa508_Wk3_2021.Rmd
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mapping challenge 2.Rmd
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a_nice_solution.R
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Week_4- Introduction to modeling with regression- Intro_to_ML_Pt1.Rmd
Week_6- Spatial modeling with {sf} & predictive policing example- Pred_poling_lab.Rmd
Week_7- Classification with logistic regression & churn prediction example-
serving_facebook_ads.Rmd
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advertising_clean.csv
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Week_8- Time and Space panel modeling $ bike share example- Bike_Share_Time_Space_2021.Rmd