Intro to Spatial Data in R
Syllabus
Schedule
Content
Assignments
Examples
Lessons
Resources
Course content
29: Conclusion
Overview
Readings and slides
Course content
1: Introduction to the Course
2: Why Geographic Analysis
3: Introduction to Spatial Data
4: Intro to Spatial Data with R
5: Literate Programming, Quarto, Workflows
6: Areal Data - Coordinates and Geometries
7: Areal Data - Vector Data
8: Areal Data - Raster Data
9: Intro to Mapping Geographic Data
10: Operations with Vector Data I
11: Operations with Vector Data II
12: Operations with Raster Data I
13: Operations with Raster Data II
14: Building Spatial Databases with Attributes
15: Building Databases with Location
16: Combining Vectors and Rasters
17: Point Patterns
18: Interpolation
19: Interpolation II
20: Spatial Autocorrelation
21: Statistical Modelling I
22: Statistical Modelling II
23: Statistical Modelling III
24: Statisitcal Modelling Review
25: Data Visualization and Maps I
26: Data Visualization and Maps II
27: Introduction to Interactive Maps
28: Interactive Dashboards
29: Conclusion
Conclusion
Content for Wednesday, December 4, 2024
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