Difference between revisions of "Group1 Introduction"
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The project here aims to solve the questions posed in the Visual Analytics Science and Technology challenge [[http://www.vacommunity.org/VAST+Challenge+2017]]. 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 [[http://www.vacommunity.org/VAST+Challenge+2017#Overview]] 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. | The project here aims to solve the questions posed in the Visual Analytics Science and Technology challenge [[http://www.vacommunity.org/VAST+Challenge+2017]]. 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 [[http://www.vacommunity.org/VAST+Challenge+2017#Overview]] 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. | ||
Revision as of 00:51, 18 June 2017
About this project
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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.