A Visual Recommender Framework for Exploratory Data Analytics

Information on our surrounding environment, such as the forests, soil and climate, have been captured extensively throughout New Zealand and across the years for various research studies. While numerous studies have looked at analysing subsets of the data, few have looked at the data from a holistic perspective. This is partly due to difficulties in handling the data size, complexity and quality and the lack of computational tools required for understanding and analysing the data in its entirety. In this talk, we briefly introduce our work on designing a framework for exploring large complex spatio-temporal datasets. We show how the designed framework can help facilitate efficient visual exploration of large complex spatio-temporal datasets.