Last year, Princeton announced a plan to expand the University by 2026, adding another residential college and building new athletic facilities on the south side of Lake Carnegie. In what ways will this latest expansion transform our campus, and how does that change fit with the university’s historic land use? These are the questions that my twin brother, GEO senior Benjy Getraer, set out to answer last year in a class project for GEO 90 “Analyzing Ecological Integrity: An Assessment of Princeton’s Natural Areas.”
Research often involves a spatial dimension–you want to find out not only what is happening but also where. This is an important component in many disciplines: political scientists want to know how voting results breakdown by precinct or change over time; linguists may want to understand how dialects vary regionally; climate scientists want to know how much different parts of the globe are warming.
To address these types of large-scale research objectives or answer smaller questions such as Benjy’s, you can use Geographic Information System (GIS) software to display, edit, and analyze geospatial data. Spatial analysis provides a unique way to study data and add diversity to figures and data visualization. In this post I will introduce basic concepts of geospatial data and one application of GIS analysis by walking through Benjy’s project, mapping land use change on Princeton’s campus.