Title
Novel Techniques for Visualizing Large Time Series Data
Document Type
Student Presentation
Presentation Date
4-15-2013
Faculty Sponsor
Alark Joshi
Abstract
Graphs are used to render all types of data, but what if we could use computers, namely programs like D3, to represent data in new ways to better understand patterns and analyze data. We will use D3, a Javascript-based data visualization software, to create novel representations of rainfall data at a diurnal time scale. Diurnal variations in rainfall intensity and location are major indicators of the way precipitation works. This interactive visual representation based on time – evolution of rainfall at four locations in coastal Ecuador during the rainy season of 2009. Spatial and temporal patterns in weather data are often hard to pick out from a group of time series because of the noise from all other weather events. This project aims to experiment with D3 to show rainfall data from four Ecuadorian cities in a climactic transition zone. By showing this data in different ways in attempt to observe patterns previously overlooked and increase the usability of the software.