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Spatial Analysis IV: Spatial Design and Application

East Baltimore
4th term
3 credits
Academic Year:
2022 - 2023
Instruction Method:
Class Times:
  • Monday,  3:30 - 5:20pm
  • Wednesday,  9:30 - 10:20am
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Frank Curriero

340.696 Spatial Analysis I: ArcGIS; 340.697 Spatial Analysis II: Spatial Data Technologies; 140.698 Spatial Analysis III: Spatial Statistics


Expands students’ abilities to design, conduct and report the results of a complete public health related spatial analysis. Focuses on further developing and integrating components of the spatial science paradigm, Spatial Data, GIS and Spatial Statistics. Introduces relevant topics in GIS, spatial data technologies and spatial statistics not previously covered in Spatial Analysis I-III.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Describe how spatial information and spatial analysis can be included into public health research and practice
  2. Frame a scientific question and/or hypothesis about spatial relationships into the appropriate spatial statistical methodology, the results and interpretations of which represent quantities of scientific interest
  3. Complete a spatial analysis project that includes all components of the spatial science paradigm and a written summary in the form of a scientific paper
Methods of Assessment:

This course is evaluated as follows:

  • 20% participation in class discussion and activities
  • 30% in class projects
  • 20% Quizzes
  • 30% Final Project

Instructor Consent:

No consent required

Jointly Offered With:
Special Comments:

Please note: This is the in-person section of a course that is also offered virtually/online. Students will need to commit to the modality for which they register. Use of personal laptops is strongly encouraged.