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We extract top 50 points of interest from a cube based on the scores calculated using Getis-ord statistic. This cube is generated by normalizing the co-ordinates from Geospatial NYC taxi trip dataset and using day of month as the third dimension.

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MaulikLim/GeoSpatial-Hotspot-Analysis-SparkSQL

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GeoSpatial-Hotspot-Analysis-SparkSQL

We extract top 50 points of interest from a cube based on the scores calculated using Getis-ord statistic. This cube is generated by normalizing the co-ordinates from Geospatial NYC taxi trip dataset and using day of month as the third dimension.

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We extract top 50 points of interest from a cube based on the scores calculated using Getis-ord statistic. This cube is generated by normalizing the co-ordinates from Geospatial NYC taxi trip dataset and using day of month as the third dimension.

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