%0 Online Multimedia %A Tan, Alan %D 2019 %T Building a Visual Analytics System for Spatio-temporal Analysis %U https://auckland.figshare.com/articles/presentation/Building_a_Visual_Analytics_System_for_Spatio-temporal_Analysis/9796427 %R 10.17608/k6.auckland.9796427.v1 %2 https://auckland.figshare.com/ndownloader/files/17579663 %K Science Coding Conference 2019 %K SCC NZ 2019 %K NeSI %X Ability to extract knowledge from complex spatio-temporal datasets is key for understanding events happening in our surrounding environment, such as forest growth, disease spread, climate change and socio-economics. However, there is a lack of efficient tools for analysing these complex datasets from a holistic perspective due to challenges such as data size, quality and multi-dimensional complexities. In this talk, we first briefly introduce our work on a visual recommender system for exploring large complex spatio-temporal datasets. We then touch on the tools and libraries, such as D3 and Vega, used for constructing an interactive and responsive front-end interface for visual analytics %I The University of Auckland