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 built a static users site with Github Pages
• Includes a github repo for access to all the code.
• Familiarized myself with publishing on Github by “committing” and then “pushing” files
• Been exposed to markdown, YMAL, CSS, HTML and website construction
• Learned how to render site and add icons

Data Wrangling with COVID-19 Data

• Practiced data wrangling and visualization skills using real-time COVID-19 data maintained by the New York Times
• Learned how to make tables with knitr::kable and read in data with read_csv
• Learned how to join two data sets
• Learned how to plot graphs with ggplot

Projections, Distances, and Mapping

• Explored the properties of sf, sfc, and sfg features & objects
• Calculated the distances of US cities to various US borders
• Used ggrepel to make labels in ggplot graph

Tesselations, Spatial Joins, and Point-in-Polygon

• Explored the impacts of tessellated surfaces and the modifiable areal unit problem (MAUP) using the National Dam Inventory
• Used tessellations to analyze dam data across the United States
• Used function to summarize tesellated surfaces
• Made a leaflet map representing the largest, at risk, flood control dams in each state

Raster Analysis

• Worked with multiband raster files to detect and analyze a flood event near Palo, Iowa
• Used the raster package to create flood images using mutliband Landsat Imagery, thresholding, and classification methods
• Calculated the kmeans to determine the accuracy of the binary raster layers

Terrain Analysis

• Visualized Santa Barbara Basin and Mission Creek River System
• Used Terrain Analysis to create Elevation, Hillshade, and Height Above Nearest Drainage (HAND) rasters
• 2017 Flood impact assessment to see impacted buildings