Spatial hot spot analysis

$10-30 USD

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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 SIGSPATIAL GISCUP 2016. 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 analysis"

SQL

Big Data

Scala

ID Proyek: 32253726

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1 freelancer menawar dengan rata-rata $30 USD untuk pekerjaan ini

@alaminabdo53

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 data, crime data, water quality data and plate number detection using ArcGIS desktop, pro and online with Qgis and programming languages like python, JavaScript and R. The samples of my work on Facebook, Twitter #thepowerofgis, Chat me up for more details. Hope see you in the chat.

$30 USD dalam 2 hari