Mark P. Kumler, Ph.D.
Fang Ren, Ph.D.
Space-time cubes are a form of 3D cartography ideal for the synthesis of temporal and spatial data, and have thus been used to construct qualitative narratives that map the pathways of stories and life histories over time. This project extends this methodology into the realm of filmmaking by translating Christopher Nolan’s 2017 film Dunkirk into a space-time cube. In doing so, this project in turn offers a synthesis of GIS and digital humanities. Through deliberate cutting across multiple characters’ perspectives, Dunkirk tells a tripartite narrative that is emotionally gripping yet logistically confusing. This project transforms Dunkirk’s non-linear narrative into a space-time cube for the purpose of chronological elucidation in a GIS environment. Multiple sets of temporal and spatial data were derived through the study of Dunkirk’s fictional plot and research of true historical events. The data were then mapped in a space-time cube in linear chronological order. The results of this project analyze the proficiency of GIS in translating stories from the medium of film into 3D cartographic space, as well as the wider application of spacetime cubes in film narrative storyboarding.
Ng, G. (2019). GIS- Driven Translations of Film Narratives: A Space-Time Cube of Christopher Nolan's Dunkirk (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/289
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