Natalie Schoen

I am currently an undergrad student studying at the University of Iowa. I plan to graduate in Spring of 2021 with a B.S. in Geography, a B.A. in Environmental Planning, and a Certificate of Sustainability. I have experience working with ArcMap and LiDAR and I would love to continue working with these tools in the future. I am especially interested in researching environmental justice issues, specifically what factors cause vulnerability and the inequitable distribution of losses across a population. I also found a passion for studying conservation during my time spent abroad in Costa Rica. I am my happiest when I am outdoors, so I am extremely lucky to have jobs that allow me to do that, including an assistant leader with the LLS outdoor programs at the University of Iowa and a zipline guide during the summers at Longhollow Canopy Tours. I hope to continue learning throughout my life and attend graduate school after I finish my current degrees. From there, I would love to work as a park ranger in a National Park or travel for a few years before I settle down.


Geovisualization Portfolio

Percent Population of Alaska: 5 and Younger

This choropleth map depicts the distribution of the youth population in Alaska counties based on 2010 census data. Click the photo for more information!

Native American Population in the US

This graduated symbol map displays the distribution of the Native American (alone) population in the US. Click the photo for more information!

Mapping Vulnerability in Louisiana

This bivariate map displays the distribution of single mothers and black population in Lousiana counties. Click the photo for more information!

Total Annual Precipitation in Iowa

This isarithmic map displays the pattern of total precipiation across the state of Iowa in one year. Click the photo for more information!

Housing in Wayne County, Michigan

This small multiples choropleth map displays the housing structure in Wayne County, Michigian by census tracts. Click the photo for more information!


Vulnerability to COVID-19

The COVID-19 pandemic has impacted some demographic groups more than others. Patterns in the cases and deaths of COVID-19 have shown that elder populations, black populations, low-income communities, and individuals living in density populated areas are disproportionately more likely to suffer from the virus. The goal of this project was to visualize the relationship between the COVID-19 virus and these vulnerability factors by using a variety of maps and figures. In addition to demographic vulnerability factors, lack of medical equipment and resources have created vulnerability in entire communities as well. Due to this, we also compare the relationship between hospital bed availability and cases of COVID-19. The various maps created for this project can help guide the decisions of city planners and health officials who are responsible for managing the spread of the virus. Understanding vulnerable populations is essential to maximize the allocation of resources and to create efficient policies that mitigate the spread of the virus. Click on the map to see the full project website!