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Hot zone analysis This task will needs to perform a range join operation on a rectangle datasets and a point dataset. For each rectangle, the number of points located within the rectangle will be obtained. The hotter rectangle means that it include more points. So this task is to calculate the hotness of all the rectangles.

Hot cell analysis Description This task will focus on applying spatial statistics to spatio-temporal big data in order to identify statistically significant spatial hot spots using Apache Spark. The topic of this task is from ACM SIGSPATIAL GISCUP 2016.

The Problem Definition page is here: http://sigspatial2016.sigspatial.org/giscup2016/problem

The Submit Format page is here: http://sigspatial2016.sigspatial.org/giscup2016/submit

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Identifying traffic hotspots with analysis of Taxi stops in Apache Spark cluster setup on AWS EC2 virtual machines.

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