Project Overview
The Point Visualization(PointViz) project focuses on displaying large amounts of information acquired from the Kaguya Spectral Profiler in a way that is easy to visualize, and useful for a variety of different users that wish to focus on different parts of the collected data.
The goal of the project is to take data in 'image' form (with each 'image' consisting of 80 to 100 point values in terms of latitude and longitude) and store it in a MongoDB database using NoSQL, while retaining extra image attributes such as reflectivity values and wavelength spectrum values.
Source: Japan Aerospace Exploration Agency (JAXA), “KAGUYA (SELENE) Observations using the Spectral Profiler (SP)”
With the data stored in the database, we will then be able to display the data using front-end graphing processes (such as OpenLayers and the D3 JavaScript libraries) in a web application.
Our main challenge, and focus of the project, is to determine how much of the data can be graphed, and how larger amounts of data (over 10,000 points, for example) can be best displayed to the user in a meaningful and informative way.
Our secondary challenge is to ensure that users can draw upon graphs depicting the data they need- perhaps user A only needs a chart of Reflectivity data, but user B wants to know the Reflectivity versus the wavelength spectrum as the longitude points increase.