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5 case studies for merging BIG Data Analytics with GIS

merging BIG data analytics with GIS

Why merging BIG Data Analytics with GIS?

One of  the fast growing trends now is to use BIG data analytics in different fields. World has increasing numbers of mobile phones, sensors, GPS devices, and others. The huge number of generated Gigabytes and Terabytes is a rich source for information. When analyzed, decision makers in different fields can take their decisions accordingly.

(You may refer to the previous article about BIG Data Analytics)

Location is an essential dimension in most activities. Therefore, merging BIG Data analytics with GIS (Geographic Information Systems) is an adding value. (You may refer to the previous article about GIS).

In the following lines, I am presenting five selected case studies for merging BIG Data Analytics with GIS. The case studies are related to different industries Transportation, Energy, Commercial, and Weather.

Analyzing NYC taxi data

Location Analytics BIG Data GIS - NYC taxi

A case study by Esri, Analyzing the dynamic locations Millions of taxis in New York city. Millions of pick-up and drop-off data points were collected and aggregated along the day. The target is to build better understanding about the traffic and the taxi trips profile.

Location Analytics BIG Data GIS - NYC taxi Analysis Aggregation

For developers, Esri launched this tutorial where developers can download sample data and learn how to perform sample analyses.

You can access a story-map for the results here.


Predicting demand for Japan taxi services

Location Analytics BIG Data GIS - Toyota Japan Taxi demand

A case study in Japan by Toyota, JapanTaxi Co., KDDI Corporation (a Japanese telecom operator) and Accenture (consulting and professional services firm).

They collaborated to develop a taxi dispatch support system that predicts demand for taxi services, combining data from taxi service logs, Tokyo event calendars, weather, traffic, and cell phone location.

This article presents more more details and explains the role of each company.

Big Data Keeps the Lights On

Location Analytics BIG Data GIS - Peak Reliability Electricity North Grid

North American Grid consists of a complex network of power plants and transformers that are connected by more than 450,000 miles of high-voltage transmission lines. Peak Reliability (a non-profit organization) is a reliability coordinator (RC) . They take real-time measurements of electricity output and usage and making split-second decisions using Big Data system and ArcGIS platform from Esri.

Peak has about 440,000 electrical load measurements taken at distinct times. They also collect another 4,000 measurements that are updated 30 times per second (64 gigabytes daily).
The system keeps Peak aware of conditions throughout the grid and help them respond quickly to anything unusual so it can reduce potential power outages.
More details are in this article.

Social Monitor

Location Analytics BIG Data GIS - Social Media Monitor - IBM Esri

IBM and Esri collaborated to build an interactive proof-of-concept map called the Social Monitor that uses Tweets and geospatial technology to understand customer sentiment and focus brand management.

This article presents more details about the project.

Predicting the Weather

Location Analytics BIG Data GIS - Weather Forcast

A case study by Weather Decision Technologies (WDT).  the system uses Big Data and GIS to improve weather forecast. According to WDT, satellites and remote-sensing devices found both on land and in the oceans is greatly helping to improve weather forecasting services.

This article presents more details about the system.

You may also read Free educational resources to stay updated with GIS technology

A demo

The following video is a demo for merging BIG Data Analytics with GIS using ArcGIS and Apache Hadoop.