Projects

In the summer of 2020 I took a class GIS course based in R. I wrote some code, and did some cool data science. Here is a collection of links!

Building a project website

• In this assignment we learned the basic requirements to build an R Markdown website.
• Created a GitHub repository to display the course projects.
• Add personalizations to the website in order to make it our own.

Lab02 - Data Wrangling

• Loaded in raw data to filter, manipulate, and analyze.
• Practice visualization skills via real-time pandemic data.
• Present data in tables and figures.

Lab03 - Distances and Projections

• Created sf objects of the US from CSV files.
• Calculated distances from US cities to the national, state, Mexican, and Canadian borders.
• Plotted findings using ggplot.

Lab04 - Tesselations, Spatial Joins, and Point-in-Polygon

• Looked at impacts of tessellated surfaces using national dam data.
• Mapped US counties using Voronoi, triangulation, hexagonal, and gridded tessellations.
• Created functions to expedite mapping tasks.

Lab05 - Raster Analysis

• Used raster data from Landsat to analyze the impacts of a flood in Palo, Iowa.
• Using the raster package, categorized flood images using the multiband imagery.

Lab06 - Terrain Analysis

• Analyzed a flood event in Santa Barbara, California.
• Mapped the boundary of the river basin, the river, and the buildings (including railways) inside the basin. _ Created a GIF showing the buildings affected by the flood at different stages.