Throughout this course, I expanded my GIS foundation for spatial analysis. I learned to work across multiple data sources and applied spatial analysis processes and tools to spatial (vector and raster) and nonspatial data. While completing the exercises, I identified customer locations for market expansion, georeferenced autoCAD data for campus growth and management, explored census data and job creation, examined the relationship between road conditions and accidents, investigated spatial clustering and hot/cold spots for emergency service calls, prepared a thematic map of apartment rent from the U.S. Census, identified suitable habitat for bald eagles and bears, and classified land cover classes for a nature refuge. Outside of the course, I have applied the skills and tools from the exercises to my own job as research associate in the Rhea lab at NCSU CVM. I have geocoded collection sites in the Galapagos Islands, joined Census data to MRSA infections at the ZIP code level, and performed cluster and hot spot analysis on COVID data. My goal for this course was to utilize geospatial analysis and tools in a professional setting to explore research questions.  I hope to continue learning and working with GIS.