2018 Virtual Poster Session
This course uses a combination of lecture and hands-on exercises to provide a gentle introduction to programming in R with a focus on spatial data processing. The final project in the course is the construction of a reproducible research workflow as illustrated in the figure below.
Figure from R for Data Science by Grolemund & Wickham (2017)
Each student wrote a script (using the R programming language) to perform these steps and generate a website showcasing their analysis. The focus of the course is on the design and implementation of the complete data processing research workflow itself (not any particular statistics/methods/models). The challenge is to string all the steps together in a coherent, reproducible flow from raw data to final outputs.
Student Project Gallery
You are invited to explore the student projects below (click on a title to visit their website). Each projects includes the embedded code in addition to their narrative and graphical stories. If you find something interesting, you are free to download and re-run the script to reproduce the entire analysis (including generating the tables/figures and even the webpage itself).
Group 1
| Student | Title |
|---|---|
| HamedGhodsi90 | Interpreting The Stormwater Management Model (SWMM) Output Files |
| Henryxie1003 | Tracking tree phenology of Nature View Park in Buffalo |
| JonathanMLynch | Historical Hazardous Material Spills |
| Katie-M-Walsh | Establishing Floodzones and Potential Constructed Wetlands for Wastewater Management |
| matthewamoia | The occurence of Clemmys guttata (Spotted Turtle) with respect to wetland habitat suitability |
| nathandubinin | The Story Pollen Tells Us |
| sunjiazh | A common nosedive of European tourism in 2015 |
| talentstuder | Buffalo’s Changeable temperature in October |
| YingLuGit | Buffalo Land Cover Mapping |
| zero12r | Visualizing Racial Skewing in Police Traffic Stop |
| zhang224 | Connection between Deer Tick and Lyme Disease |