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Data Services Class Descriptions

Information, materials, and schedules for all currently offered Data Services classes
Geospatial Analysis in R covers introductory strategies for viewing geospatial data and performing analysis with R, the open source statistics software.
Software: R, RStudio with the tidyverse, sf, and tmap packages (download instructions)
Duration: 90 min

Room description:

During the Fall 2021 semester, some tutorials are held remotely and require NYU sign on to access, while others are held in person, without a remote component. Please note the correct modality and location of the tutorial when registering

Prerequisites:
Skills Taught / Learning Outcomes:
  • Download both tabular data and spatial data (i.e. shapefiles) and import them into R Studio for analysis.
  • Join tabular data to spatial data in R Studio.
  • Visualize spatial data and make choropleth maps in R Studio using the tmap package. 
  • Query and subset the attribute tables of shapefiles based on specified criteria using dplyr (and make derivative spatial objects based on these queries). 
  • Join different shapefiles together based on their relative spatial locations (i.e. carry out a spatial join) using the sf package.
  • Project shapefiles from one coordinate reference system (CRS) to another using the sf package. 
  • Interpret the output of a spatial join, and use it to derive novel information about variables of interest. 
  • Write/export shapefiles from R Studio so that they can be used in other GIS software (such as ArcGIS or QGIS). 
Class Materials:

Tutorial Documentation

Related Classes:
Additional Training Materials: guides.nyu.edu/r
Feedback: bit.ly/feedbackds

Upcoming sessions for this tutorial