Data Visualization and Enhanced Learning in Engineering Education Through Oil Pollution Studies and Environmental Impact Assessment

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 716)

Abstract

Big Data and Data Analytics have in recent times become important areas of focus in academia, in business and in society. This paper utilises experiments involving data visualisation of oil pollution studies and their effects on environment for enhanced learning in engineering education. Tracking and analysis of images and the use of accessible applications for the analysis of acquired data revealed the level of impact of the different types of oil pollution on grass vegetation. In accounting for these changes the primary RGB colours and corresponding values are used. The use of spectral analysis applications available in spectroscopy and comparison of results would in future prove useful in assessing some aspects of these changes in relation to wavelength and colours changes. The results of these studies would contribute in no small measure to the determination of best cleaning strategies for oil spills.

Keywords

Data visualisation Enhanced learning Engineering education Oil pollution Environment 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Computing and Engineering, Computer Science Research InstituteUlster UniversityNewtownabbeyNorthern Ireland, UK
  2. 2.Faculty of Computing and Engineering, School of EngineeringUlster UniversityNewtownabbeyNorthern Ireland, UK

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