Alec Kirkley

Human mobility data can dramatically enhance geospatial models, enabling them to generalize effectively across cities without direct mobility input.

Discovering spatial regions and their temporal signatures in massive time series data just got much faster and easier, thanks to a new method that scales log-linearly with the number of time series.