This paper describes the background and design of the software, Orca. Orca is a exible and extensible toolkit for constructing interactive and dynamic linked data viewers. It is speci cally designed for data having a multivariate component. A main goal of the Orca project is to make i n teractive and dynamic graphics programming accessible to researchers from diverse elds and backgrounds. The approach to displaying data comes from earlier research on building statistical graphics based on data pipelines. Di erent aspects of data processing and graphical rendering are organized conceptually into segments of a pipeline. The software design of Orca takes advantage of the object-oriented nature of Javatm to open up the data pipeline, which allows developers greater exibility a n d c o n trol over their visualization applications. Importantly, new types of data views coded to adhere to a few simple Orca design requirements can easily be integrated with existing pipe sections. This allows access to sophisticated linking and dynamic interaction across all new and existing Orca view types. Orca pipe segments can be accessed from modern data analysis packages such as Omegahat or R, providing a tight-coupling of visual and numerical methods.
Orca REF is a extensible toolkit designed for constructing interactive and dynamic linked data viewers for rendering, manipulating, and linking.
ORCA: A Visualization Toolkit for High–Dimensional Data
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
Computer Science