Geographic Information Science, long entrenched in the study of map-centric patterns, embraced the computer revolution to explore the use of dynamic geographic models and spatial representation as a means to unlock understanding about the world. Process representation grew into a separate ontology within Geographic Information Science as researchers grappled with the increasingly dynamic modeling and mapping capabilities afforded by ubiquitous computing availability. The interactions of geographic processes have been shown to produce spatial phenomena suited for geographic inquiry; however, the exploration of spatial representation as a means of understanding geographic processes has produced a bifurcated ontology of pattern and process representation.
Pattern representation has been a first-class method that has enabled geographic investigation, but this effort takes a new look and advances process representation, by formulating a theory of geographic process concurrency and introducing geoexpression as a mechanism to interrogate it, in light of CyberGIS. Epidemiology has served as a motivating case study for CyberGIS theory. This work investigates one infectious disease, White-Nose Syndrome (a disease killing millions of cave-roosting bats), as a case study to demonstrate the theoretical and practical importance of geographic process concurrency. Here, the representation of geographic process concurrency using geoexpression serves as a case study to demonstrate the utility of process-centric representation for understanding the effect of geographic process order on the spread of WNS.