Below are all the lecture topics that I’ve developed for various classes taught at the Center for Environmental Studies. For more information on these lectures, feel free to contact me directly at rjdyer@vcu.edu.
The following components focus on fundamental aspects of the
R statistical language and should be applicable to anyone
who is working with R on a regular basis.
| Topic | Connections |
|---|---|
| Character Data | Video Slides Narrative Homework |
| Data Frames | Video Slides Narrative Homework |
| Dates | Slides Narrative Homework |
| Environment | Video Slides Narrative |
| Factor Data | Slides Narrative Homework |
| Lists | Narrative |
| Matrices | Narrative |
| Numerical Data | Video Slides Narrative Homework |
| R Grammar | Slides Narrative |
| Vectors | Video Slides Narrative |
Markdown is a tremendously powerful tool for bringing your data, your analyses, and the manner in which you communicate them into tigher collaboration. Learning markdown will make your life so much easier, you will wonder how you got along without it up until now… 😄.
| Topic | Connections |
|---|---|
| R Markdown | Video Slides Narrative |
| Slides | Slides |
The ability to visualize data is one of the most fundamental components of data literacy. The following topics
| Topic | Connections |
|---|---|
| Basic Visualization | Video Slides Narrative |
| Ggplot Graphics | Video Slides Narrative Homework |
| Leaflet | Slides Narrative Homework |
| Plotly | Narrative |
This is where the rubber meets the road in data analysis. By far, the vast amount of effort we expend in our daily work is getting data into a format that makes sense to us, that can surface various insights, and be inserted into our analysis workflows.
| Topic | Connections |
|---|---|
| Functions | Slides Narrative Homework |
| Iteration | Narrative |
| Relational Data | Slides Narrative Homework |
| Scraping Websites | Narrative |
| Tidyverse 1 | Slides Narrative Homework |
| Tidyverse 2 | Slides Narrative Homework |
Here are some lectures that focus on spatial data components and how to manipulate it and extract components from it.
| Topic | Connections |
|---|---|
| Buffers Masks and Extraction | Narrative |
| Cartography | Slides Narrative |
| Chloropleth Maps | Narrative |
| Habitat | Slides Narrative Homework |
| Rasters | Slides Narrative Homework |
| Spatial Lines | Slides Narrative |
| Spatial Points | Slides Narrative Homework |
| Spatial Polygons | Slides Narrative Homework |
| Spatial Statistics | Narrative Homework |
Once we get the data and configure it properly, we can test specific hypotheses by the application of statistical models.
| Topic | Connections |
|---|---|
| Anova | Slides Narrative Homework |
| Clustering | Narrative |
| Correlation | Slides Narrative Homework |
| Ordination | Slides Narrative |
| Regression | Slides Narrative Homework |
| Statistical Inferences | Slides Narrative |
Here are some lectures that mix together some of the above activities that I’ve developed to teach a graduate and postgraduate workshop in Landscape Genetics based upon habitat analyses.
| Topic | Connections |
|---|---|
| Habitat | Slides Narrative Homework |
| Network Models | Slides Narrative Homework |
| Resistence | Slides Narrative Homework |
Here are some lectures on content that I’ve created to work with genetic data.
| Topic | Connections |
|---|---|
| Diversity | Slides Narrative Homework |
| Population Genetics | Slides Narrative Homework |
| Spatial Structure | Slides Homework |
| Subdivsion | Slides Narrative Homework |
Here are some lectures that I gave in a 2-day workshop to new R users
covering basic functionality focusing on tidyverse
usage.
| Topic | Connections |
|---|---|
| R Environment | Slides Homework |
| Functions Strings | Slides Homework |
| Numeric Dataframes | Slides |
| Data Manipulations | Slides |
| Dates Factors | Slides |
| Visualizations | Slides |
| Mapping | Slides |
| Markdown | Slides |
This file last updated: Thu May 26 06:34:04 2022.