Spacetime Data Science

Data science with explicit awareness of the spatial and temporal dimensions of data—understanding that data is always situated in space and time, that patterns change across geography and history. Spacetime Data Science wouldn't just analyze variables; it would track how relationships evolve, how contexts shift, how location matters. It would be capable of spatiotemporal modeling, historical analysis, and geographical variation built into its core. Data science that knows everything happens somewhere, sometime.

"The standard analysis showed a trend. Spacetime data science showed how that trend varied across regions and evolved over decades—revealing that the 'global' pattern was actually several different local stories. It knew that data has coordinates."

Spacetime Data Science by Nammugal March 4, 2026