Investigators are seeking methods to predict and assess the visual quality of environments. In this study I employ an equation (Burley, 1997) which predicts visual quality to create a visual quality map of southern Michigan and then text to determine the map's reliability. Through Kendall's coefficient of concordance statistical test, I determined that the map is significantly reliable (p<0.01) and conclude that it is possible to construct reliable visual quality maps.
Read
