Spatial Analysis in R
with a Focus on Environmental Health
An introduction to spatial analysis in R, with interactive modules that demonstrate various spatial packages, including:
Interactive Learning Modules
Interactive modules that accompany a workshop of lectures, discussions, and learning activities.
- Introduction to course and instructors
- Module 1. Introduction to R
- Module 2. Spatial packages for R
- Module 3. Cartography concepts
- Module 4. GPS and mobile app data
- Module 5. Air pollution
- Module 6. Infectious disease
- Module 7. Built environment
- Module 8. Environmental justice
- Other learning resources
Examples covered the modules include:
- Reading shapefiles and rasters
- Accessing data from ArcGIS Online
- Interactive maps in leaflet and tmap
- Importing GPS gpx files
- Assigning satellite and low-cost sensor based PM2.5 exposures
- Developing a real-time COVID-19 dashboard
- Greenspace and near roadway analysis using OpenStreetMap data
Environmental & Occupational Health Sciences
University of Washington
This is an introductory course in analyzing spatial data in R. The course is built largely on examples from Environmental Health and Environmental Epidemiology. The course will describe common types of spatial datasets used in the Environmental Health Sciences and Epidemiology, including population census data, air pollution data, land use and land cover data, and data collected from mobile apps. Geographic Information System/Science (GIS) and spatial analysis methods for creating maps and for identifying spatial relationships will be described. Course modules will cover applications in air pollution, infectious disease, built environment, and environmental justice. The course will be taught using open source software, R and its packages for spatial analysis.
The online course material was developed in learnr and contains R code that can be run in real-time on the website.
You will find exercises and quizes embedded in the course modules that reinforce key learning objectives.
Applicable to non-US learners too
This online course material is different from the hybrid course that I teach at the University of Washington. That course focuses on ESRI ArcGIS skills for Public Health.
This online material was developed with largely non-US data as examples. Non-US learners may find these examples more applicable to their work. But US-based learners may also benefit from the examples too. There are a few US-based examples in some modules.
Course level (Beginner)
This course isn’t applicable to those looking for advanced spatial statistical modeling methods. This is a beginner course that provides examples of working with spatial data with some examples related to Environmental Health and Epidemiology.