Visualization of Flow Fields in the Web Platform

Authors: Mauricio Aristizabal and John Edgar Congote and Álvaro Segura and Aitor Moreno and Harbil Arregui and O. Ruiz

Date: 26.06.2012

Journal of WSCG


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Abstract

Visualization of vector fields plays an important role in research activities nowadays. Web applications allow a fast, multi-platform and multi-device access to data, which results in the need of optimized applications to be implemented in both high-performance and low-performance devices. Point trajectory calculation procedures usually perform repeated calculations due to the fact that several points might lie over the same trajectory. This paper presents a new methodology to calculate point trajectories over highly-dense and uniformly-distributed grid of points in which the trajectories are forced to lie over the points in the grid. Its advantages rely on a highly parallel computing architecture implementation and in the reduction of the computational effort to calculate the stream paths since unnecessary calculations are avoided, reusing data through iterations. As case study, the visualization of oceanic currents through in the web platform is presented and analyzed, using WebGL as the parallel computing architecture and the rendering Application Programming Interface.

BIB_text

@Article {
author = {Mauricio Aristizabal and John Edgar Congote and Álvaro Segura and Aitor Moreno and Harbil Arregui and O. Ruiz},
title = {Visualization of Flow Fields in the Web Platform},
journal = {Journal of WSCG},
pages = {189-196},
number = {3},
volume = {20},
keywds = {

Streamlines, Trajectory, Hierarchical Integration, Flow Visualization, WebGL


}
abstract = {

Visualization of vector fields plays an important role in research activities nowadays. Web applications allow a fast, multi-platform and multi-device access to data, which results in the need of optimized applications to be implemented in both high-performance and low-performance devices. Point trajectory calculation procedures usually perform repeated calculations due to the fact that several points might lie over the same trajectory. This paper presents a new methodology to calculate point trajectories over highly-dense and uniformly-distributed grid of points in which the trajectories are forced to lie over the points in the grid. Its advantages rely on a highly parallel computing architecture implementation and in the reduction of the computational effort to calculate the stream paths since unnecessary calculations are avoided, reusing data through iterations. As case study, the visualization of oceanic currents through in the web platform is presented and analyzed, using WebGL as the parallel computing architecture and the rendering Application Programming Interface.


}
isi = {1},
date = {2012-06-26},
year = {2012},
}
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