Presentation of Oil and Gas Spatio Temporal Big Data Visualization Techniques as Tools to Aid in Spatio Temporal Models

2020 ◽  
Author(s):  
Marshal E. Wigwe ◽  
Marshall C. Watson

Data visualization involves representing data and information in a graphical or pictorial form so that it can be easily understandable. At Present time, data is increasing at a very fast rate so, it is important to visualize and analyze the massive amount of data by using various visualization techniques. Data Visualization techniques are very helpful to visualize and understand outliers, trends, and patterns in data and thus helpful in decision making. This paper presents a review of the basic concepts of data visualization and various techniques and tools used for visualizing data. Some big data visualization techniques, which are the need of the hour, are also being discussed.


2021 ◽  
Vol 1955 (1) ◽  
pp. 012002
Author(s):  
Chao Tang ◽  
Jie Zhang ◽  
Sheng Wang ◽  
Linghao Zhang ◽  
Hai Wang ◽  
...  

2019 ◽  
Vol 15 (1) ◽  
pp. 490-497 ◽  
Author(s):  
Antonino Galletta ◽  
Lorenzo Carnevale ◽  
Alessia Bramanti ◽  
Maria Fazio

2021 ◽  
Vol 12 (3) ◽  
pp. 19-33
Author(s):  
Shadi Maleki ◽  
Milad Mohammadalizadehkorde

Big data provided by social media has been increasingly used in various fields of research including disaster studies and emergency management. Effective data visualization plays a central role in generating meaningful insight from big data. However, big data visualization has been a challenge due to the high complexity and high dimensionality of it. The purpose of this study is to examine how the number and spatial distribution of tweets changed on the day Hurricane Harvey made landfall near Houston, Texas. For this purpose, this study analyzed the change in tweeting activity between the Friday of Hurricane Harvey and a typical Friday before the event.


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