What space-time analysis tells us about the Paris Olympics

The increasing velocity of data production has led to an explosion of space-time data, which presents both challenges and opportunities for organizations. By leveraging scalable space-time data science techniques, it is possible to extract valuable insights from this data, as demonstrated by the analysis of human mobility patterns during the 2024 Paris Olympics. This analysis revealed trends in crowd behaviors, venue congestion, and transportation patterns, which can inform city planners, event organizers, and businesses alike. CARTO's space-time analysis tools are now available as part of CARTO Workflows, enabling users to extract insights from their data without even a line of code. These tools include Space-time Getis-Ord, spacetime hotspots classification, and time-series clustering, which can be used to identify space-time hotspots and coldspots, classify locations as hotspots or coldspots based on patterns of clustering and intensity trends, and uncover deep insights about clusters in space-time data.

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