Educate hikers about trail difficulty with landscape layers from ArcGIS Living Atlas of the World.

Determination of the most optimal location for a set of new high-efficiency wind turbines in Colorado.

Visualization of Johns Hopkins University aggregated global COVID-19 data

This map visualizes the 2016 presidential election with a focus on z-score, which is a value assigned relative to "standard deviations from the mean".  In this circumstance, the z-score compares county average votes by party as compared with the national party average.  Therefore, states with a positive z-score "overperformed" and states with a negative z-score "underperformed", relative to the national average.

This map uses Tapestry Segmentation to characterize neighborhoods and uses United States Census data to identify veterans, a key regional voting bloc.  The map allows users to gain insight about the lifestyles and attitudes of these veteran voters.  This project resulted in both a map and a presentation that allows users to easily understand the map they are interacting with.

Geography is a critical component of modern campaigning - It is important to know where to invest a campaign's limited resources. I have analyzed relevant election history from the 2018 midterms. These maps include a special focus on Virginia’s recent elections and identifies counties and congressional districts which could be flipped to the opposing party.

On March 22, 2014, after a month of heavy rainfall, a mountain gave way near Oso, Washington; the resulting and historic mudslide killed 43 people. The slide began on a hill to the north and sped down, damming the river, blocking a nearby highway, and completely burying the Steelhead Drive community.

This map helps track crime patterns as a tool for law enforcement.  I mapped crime hot spots which show when, where, and what kind of crime took place.  The map was made to help the cops find the areas to patrol. The blue heat map shows the crime density, and the purple area are crimes that happened more than 5 minutes away from the police stations.

Starting map for an analysis of people who live in high risk zones for lava flow on the island of Hawaii. The analysis considers the locations of emergency shelters, how long it takes to drive to a shelter, and where people live on the island.

This map highlights areas in need of assistance during a hurricane evacuation in Houston, Texas. The darker blue tracts have a higher percentage of households without a vehicle. This pattern helps answer the question: Where in Houston should we provide evacuation assistance during a hurricane? 

Geographic locations of Save the Valley Supporters.

This map shows demographic and income data in Detroit. What stands out is a pattern of low-income households in the downtown area combined with areas of high child population. This pattern helps answer where in Detroit charities should focus its resources to help children living in poverty.

Boulder County's flood-and mudslide-prone areas for vulnerable populations as part of an analysis seeking to minimize the loss of life and property should a similar disaster strike the region.

The map shows different counties and their respective number of adults who own a cellphone. It also shows the Market Potential Index (MPI) which measures the demand of the product in comparison to the national average.