Ditutup

Spatial 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

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"

Kemahiran: Skala, GraphQL, PostgreSQL

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Tentang Majikan:
( 8 ulasan ) Johannesburg, South Africa

ID Projek: #32286896

3 pekerja bebas membida secara purata $241 untuk pekerjaan ini

(5 Ulasan)
4.9
Neiev

Hello, I analyzed your project and noticed that I have the necessary training and skills for an effective development, of high quality and in the shortest possible time. Visit my profile for more information. Thanks fo Lagi

$250 USD dalam 7 hari
(0 Ulasan)
0.0
tomydeveloper

Hello, We have experience on working taxi and food delivery application and its similar task we deliver in these applications. Please schedule a meeting for discussion. Thanks Sushil

$320 USD dalam 5 hari
(0 Ulasan)
0.0