6 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.CO2024★ 1 cited
A Tidy Framework and Infrastructure to Systematically Assemble Spatio-temporal Indexes from Multivariate Data
H. Sherry Zhang, Dianne Cook, Ursula Laa +2
Indexes are useful for summarizing multivariate information into single metrics for monitoring, communicating, and decision-making. While most work has focused on defining new inde…
stat.CO2022★ 2 cited
cubble: An R Package for Organizing and Wrangling Multivariate Spatio-temporal Data
H. Sherry Zhang, Dianne Cook, Ursula Laa +2
Multivariate spatio-temporal data refers to multiple measurements taken across space and time. For many analyses, spatial and time components can be separately studied: for example…
stat.CO2021★ 6 cited
Visual Diagnostics for Constrained Optimisation with Application to Guided Tours
H. Sherry Zhang, Dianne Cook, Ursula Laa +2
A guided tour helps to visualise high-dimensional data by showing low-dimensional projections along a projection pursuit optimisation path. Projection pursuit is a generalisation o…