Difference between revisions of "About"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 1: Line 1:
 +
<div style=background:#2B3856 border:#A3BFB1>
 +
 +
<font size = 5; color="#FFFFFF">Group1: Unlocking insights from the VAST Challenge 2017</font>
 +
</div>
 
<!--MAIN HEADER -->
 
<!--MAIN HEADER -->
 
{|style="background-color:#1B338F;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
 
{|style="background-color:#1B338F;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |

Revision as of 01:29, 18 June 2017

Group1: Unlocking insights from the VAST Challenge 2017

Introduction

About

Project Proposal

Project Timeline

App & Deliverables

Poster

 

About this project

The project here aims to solve the questions posed in the Visual Analytics Science and Technology challenge [[1]]. The team chose the project, as it gives a chance to apply varied concepts of visualizing through geography, image sensing and sensor detection. An amalgamation of the three different mini challenges [[2]] allows the group to build an unified application to explore the unknown, to unlock the potential reasons on why the Red Pipit bird is disappearing. Whilst this might not be a real world data set, the application of these kind of data is very much pragmatic.

Motivation

In regions with minimal human access such as the wildlife preserve shown in the challenge, drones are fast gaining traction. This kind of application is aimed to provide an insight on how to carry out path analysis, how to trace anomalies based on wind data and how to use satellite imagery, to get a clearer picture and draw out an inference.