activity
20212026
most citedcubble: An R Package for Organizing and Wrangling Multivariate Spatio-temporal Data

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2026

Exploring the periodicity of flight patterns

Sarah M. Coleman, H. Sherry Zhang, Lydia R. Lucchesi +1

Each year the American Statistical Association (ASA) hosts the Annual Data Challenge Expo, which tasks participants with analyzing a given dataset and presenting their work at the…

stat.CO2024

Squintability and Other Metrics for Assessing Projection Pursuit Indexes, and Guiding Optimization Choices

H. Sherry Zhang, Dianne Cook, Nicolas Langrené +1

The projection pursuit (PP) guided tour optimizes a criterion function, known as the PP index, to gradually reveal projections of interest from high-dimensional data through animat…

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…

cs.GR2021★ 1 cited

A Review of the State-of-the-Art on Tours for Dynamic Visualization of High-dimensional Data

Stuart Lee, Dianne Cook, Natalia da Silva +4

This article discusses a high-dimensional visualization technique called the tour, which can be used to view data in more than three dimensions. We review the theory and history be…