Using Emerging Hot Spot Analysis to Explore Spatiotemporal Patterns of Housing Vacancy in Ohio Metropolitan Statistical Areas
By Victoria Morckel (University of Michigan-Flint) and Noah Durst (Michigan State University) | Sophisticated methods for studying changes in the physical forms of cities that are losing population (i.e. “shrinking cities”) are lacking in the literature. This research highlights the use of a newer method—ArcGIS Pro’s emerging hot spot analysis of space-time cubes from defined locations—to examine the spread of housing vacancy, a common indicator of city shrinkage. The method has existed in ESRI’s ArcGIS Pro since 2017, but has not been previously applied to the study of vacancy. This method differs from traditional hot spot methodologies in that it identifies statistically significant spatiotemporal relationships (i.e. spatial change over time). Read More