Conclusion

HES 505 Fall 2023: Session 29

Carolyn Koehn

Course Evaluations

Data for final Project

Storing your data

  • Kyle’s shared Google drive folder syncs to: /opt/data/data/finalproject/

    • Read Only
    • Syncs hourly (at half past)

Work Session

This classroom: 2:30am - 4:30pm, Dec 11

Course Objectives

By the end of this course you should be able to…

  • Articulate the opportunities and challenges posed by geographic analysis.

  • Select the appropriate R packages and functions for manipulating different types of spatial data

  • Design statistical analyses that integrate geospatial and tabular data

  • Construct appropriate data visualizations for conveying geospatial data

  • Develop reproducible workflows for manipulating, visualizing, and analyzing spatial data.

Outstanding Questions?