| 1 |
Course introduction
Open science, open source, and doing GIS in code |
Links |
Lab session to get software setup |
| 2 |
Starting R
The myth of tidy data |
Links |
Introducing R and RStudio |
| 3 |
Choropleth map design
Data wrangling |
Links |
Making maps |
| 4 |
Handling tables
Spatial data wrangling |
Links |
Spatial data manipulation (15%) |
| 5 |
Clustering analysis
Applications of clustering analysis |
Links |
Geographic cluster analysis (20%) |
| 6 |
Introducing raster data
Working with rasters |
Links |
Help with assignments / self-learn rasters |
| 7 |
From overlay to regression models
Regression models |
Links |
Building a simple statistical model |
| 8 |
More on regression
Running a GIS project |
Links |
Introducing the mini-projects (30%)
Help with assignments |
| 9 |
Other spatial analysis methods
Bonus material on zoomed-in maps |
Links |
Help with assignments / project work |
| 10 |
Network analysis
Time geography |
Links |
Help with assignments / project work |
| 11 |
Simulation models |
Links |
Project work |
| 12 |
Project work |
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Project work |