GLOSSARYSpatiotemporal Clustering
What is it and why it is important?
What is Spatiotemporal Clustering?
Spatiotemporal clustering is the process of grouping data points based on both geographic proximity and time duration to identify meaningful behaviors like visits.
Why is Spatiotemporal Clustering Important?
It allows systems to distinguish between someone passing through a location versus someone stopping for a meaningful amount of time, which is essential for visit attribution and segmentation.
What are the Benefits of Spatiotemporal Clustering?
Improves data accuracy and relevance, ensuring that only meaningful visits are included in downstream analytics. Reduces false positives from incidental movement.
How Precisely Can Help
Precisely Visits provides granular visitation data, including the location and time of visits (e.g., designated market area, zip code, state, time zone). This supports spatiotemporal clustering, which groups consumer patterns based on location and time patterns. For example, the Precisely Place Intelligence Metrics dataset enables trade area analysis and cross-shopping insights, which can identify clusters of high-potential customers visiting specific locations at certain times, aiding in expansion planning or targeted marketing.
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