ENVSOCTY 4GA3 Lab Website
Applied Spatial Statistics
Course Content
This course provides an introduction to spatial analysis in R and the foundational concepts of spatial statistics. It covers the creation of 2D and 3D data visualizations and mapping using ggplot2 and plotly in R. The curriculum includes point pattern and area data analysis, with a focus on complete spatial randomness, spatial autocorrelation, hotspot analysis, and spatial interpolation methods for spatially continuous data. The course emphasizes the use of the R programming language for geocomputation and the generation of dynamic documents using R Markdown.
Teaching Assistant
Zehui Yin
Geography PhD Student
School of Earth, Environment & Society
McMaster University
yinz39@mcmaster.ca