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A lightweight environment for 2D visual applications

10 pagesPublished: September 26, 2019


People and organizations constantly use a wide variety of devices and formats to produce large volumes of data. This involves a series of challenges related to processing and transforming data into valuable knowledge to carry out informed decisions. This research work departs from the fact that information visualization is a critical element in the pro- cess of data analysis that takes advantage of the visual and cognitive abilities of people to explore, discover, interpret, and understand patterns in data with the use of visual representations and human-computer interaction techniques. This research proposes Dio ̈ko ̈l, a programming environment developed with Lua and OpenVG to facilitate the learning process of programmers with little experience in the implementation of visualizations. The environment was designed after the careful study of similar tools and the most popular visualization libraries. Its design takes into account their weaknesses and strengths to propose a set of features that can make it an efficient alternative to learning about and program visualizations. In addition to typical functionality provided by several visualization tools and libraries, Dio ̈k ̈ol is a lightweight environment that provides a simple and effective event manager, is scalable, small, portable and contributes an environment with a simple and easy to understand graphical interface and functionality, similar to the ones provided by Processing.

Keyphrases: environment, graphics, information visualization, library

In: Frederick C. Harris Jr, Sergiu Dascalu, Sharad Sharma and Rui Wu (editors). Proceedings of 28th International Conference on Software Engineering and Data Engineering, vol 64, pages 88--97

BibTeX entry
  author    = {Armando Arce-Orozco and Antonio Gonz\textbackslash{}'alez-Torres and Erick Mata-Montero},
  title     = {A lightweight environment for 2D visual applications},
  booktitle = {Proceedings of 28th International Conference on Software Engineering and Data Engineering},
  editor    = {Frederick Harris and Sergiu Dascalu and Sharad Sharma and Rui Wu},
  series    = {EPiC Series in Computing},
  volume    = {64},
  pages     = {88--97},
  year      = {2019},
  publisher = {EasyChair},
  bibsource = {EasyChair,},
  issn      = {2398-7340},
  url       = {},
  doi       = {10.29007/hx2j}}
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