Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Canonical Representation of Data-Linear Visualization Algorithms   We introduce linear-state dataflows, a canonical model for a large set of
visualization algorithms that we call data-linear visualizations. Our model
defines a fixed dataflow architecture: partitioning and subpartitioning of
input data, ordering, graphic primitives, and graphic attributes generation.
Local variables and accumulators are specific concepts that extend the
expressiveness of the dataflow to support features of visualization algorithms
that require state handling. We first show the flexibility of our model: it
enables the declarative construction of many common algorithms with just a few
mappings. Furthermore, the model enables easy mixing of visual mappings, such
as creating treemaps of histograms and 2D plots, plots of histograms...
Finally, we introduce our model in a more formal way and present some of its
important properties. We have implemented this model in a visualization
framework built around the concept of linear-state dataflows.

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The categories of this paper are: q-bio
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The categories of this paper are: nucl-ex
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The categories of this paper are: physics
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The categories of this paper are: atom-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: chem-ph
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The categories of this paper are: q-alg
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The categories of this paper are: chao-dyn
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: econ
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The categories of this paper are: plasm-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: stat
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The categories of this paper are: cond-mat