Spatial hot spot analysis

1. Hot zone analysis

This task will need 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 includes more points. So this task is to calculate the hotness

of all the rectangles.

2. Hot cell analysis

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


The Problem Definition page is here: [login to view URL]

The Submit Format page is here: [login to view URL]

Special requirement (different from GIS CUP)

As stated in the Problem Definition page, in this task, you are asked to implement a Spark

program to calculate the Getis-Ord statistic of NYC Taxi Trip datasets. We call it "Hot cell


Compétences : SQL, Big Data, Scala

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Concernant l'employeur :
( 8 commentaires ) Johannesburg, South Africa

Nº du projet : #32253726

2 freelances font une offre moyenne de 28 $ pour ce travail


Dear employer! I'm an Esri certified expert in GIS and Remote sensing analysis with specialization in machine learning algorithm and multidimensional data analysis. I have developed Multiple maps, index from drone dat Plus

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Hi, i have seen your project details regarding the web development. Please elaborate in details what is the outcome you are desiring from this project. I shall note them down and work accordingly to meet the deadlines. Plus

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