Journal ArticleDOI
A Model for Studying Display Methods of Statistical Graphics
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TLDR
A model has been developed to provide a framework for the study of visual decoding and a specification of visual operations that are employed to carry out pattern perception and table look-up is developed.Abstract:
A method of statistical graphics consists of two parts: a selection of statistical information to be displayed and a selection of a visual display method to encode the information. Some display methods lead to efficient, accurate visual decoding of encoded information, and others lead to inefficient, inaccurate decoding. It is only through rigorous studies of visual decoding that informed judgments can be made about how to choose display methods. A model has been developed to provide a framework for the study of visual decoding. The model consists of three parts: (1) a two-way classification of information on displays—quantitative-scale, quantitative-physical, categorical-scale, and categorical-physical; (2) a division of the visual processing of graphical displays into pattern perception and table look-up; (3) a specification of visual operations that are employed to carry out pattern perception and table look-up. Display methods are assessed by studying the visual operations to which they lead....read more
Citations
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Journal ArticleDOI
Computational anatomy: an emerging discipline
Ulf Grenander,Michael I. Miller +1 more
TL;DR: In this article, the authors formalize the Brown/Washington University model of anatomy following the global pattern theory introduced in [1, 2], in which anatomies are represented as deformable templates, collections of 0,1,2,3-dimensional manifolds.
Journal ArticleDOI
A Layered Grammar of Graphics
TL;DR: Extensions and refinements developed while building an open source implementation of the grammar of graphics for R, ggplot2 are described, highlighting the hierarchy of defaults, and the implications of embedding a graphical grammar into a programming language.
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Visualizing Categorical Data
TL;DR: In this innovative book, Friendly presents many aspects of the relationships among variables, the adequacy of a fitted model, and possibly unusual features of the data that can best be seen and appreciated in an informative graphical display.
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Statistical computing: 1. Understanding randomness and random numbers
TL;DR: The notion of random numbers and their generation using computers using these computer generated random numbers for statistical computing and simulations is discussed in this series.
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Evaluating the usability of visualization methods in an exploratory geovisualization environment
TL;DR: An approach to combine visual and computational methods for knowledge discovery in large geospatial data, an integrated visualization‐geocomputation environment has been developed based on the Self‐Organizing Map, the map and the parallel coordinate plot.
References
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Journal ArticleDOI
Segregation of form, color, movement, and depth: anatomy, physiology, and perception
TL;DR: Perceptual experiments can be designed to ask which subdivisions of the system are responsible for particular visual abilities, such as figure/ground discrimination or perception of depth from perspective or relative movement--functions that might be difficult to deduce from single-cell response properties.
Journal ArticleDOI
Image and mind
TL;DR: In this article, a discussion about the Privileged Properties of Imagery is presented, along with a discussion of the origins of images and the role of visual images in cognitive development.
Book
Graphical Methods for Data Analysis
TL;DR: This paper presents a meta-modelling framework for developing and assessing regression models for multivariate and multi-dimensional data distributions and describes the distribution of a set of data.