Building_a_Visual_Analytics_System_for_Spatio-temporal_Analysis.pdf (2.31 MB)
Download file

Building a Visual Analytics System for Spatio-temporal Analysis

Download (2.31 MB)
presentation
posted on 2019-09-24, 02:57 authored by Alan Tan
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

Funding

New Zealand eScience Infrastructure

Ministry of Business, Innovation and Employment

Find out more...

History

Publisher

New Zealand eScience Infrastructure

Spatial coverage

New Zealand

Temporal coverage: start

2019-09-05

Temporal coverage: end

2019-09-06

Usage metrics

Categories

No categories selected

Licence

Exports