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Spatial Data Technologies for Mapping

2nd term
Online Programs for Applied Learning
4 credits
Academic Year:
2021 - 2022
Instruction Method:
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Timothy Shields

Spatial Analysis for Public Health (601.731.86)


The second in a four-course sequence on spatial analysis in Public Health, this course focuses on the advancing technologies for accessing spatial information and how to integrate that information within a GIS such as ArcGIS.

Examines technologies for collecting, obtaining and creating spatial data. Considers technologies including GPS, tablets, tracking devices, cell phones, mHealth, Google Earth, remote sensing applications, and the Internet. Integrates spatial data from the aforementioned technologies into ArcGIS for spatial analysis. Introduces other GIS related software applications such as QGIS, ERDAS, and R. Explores relevant properties of spatial data such as metadata, confidentiality/disclosure and spatial data accuracy. Covers additional topics and concepts that reinforce the spatial science paradigm: Spatial Data, GIS, and Spatial Statistics.

Learning Objectives:

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

  1. Identify appropriate spatial data technologies for public health research and practice applications
  2. Design a protocol for collecting, obtaining and/or creating spatial data for a public health research or practice application
  3. Integrate data from advancing technologies into ArcGIS for spatial analysis
  4. Assess relevant features of spatial data accuracy and develop proper metadata methodology
Methods of Assessment:

Assignments (7 total) 50%, article reviews (3 total) 30%, forum article review 15%, participation 5%

Enrollment Restriction:

Restricted to students enrolled in MAS and Certificate in Spatial Analysis for Public Health

Instructor Consent:

No consent required