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SpatialRugs: Enhancing Spatial Awareness of Movement in Dense Pixel Visualizations

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arxiv 2003.12282 v1 pith:BPRFGFKV submitted 2020-03-27 cs.HC

classification cs.HC
keywords movementspatialrugsawarenesscolormapsdensepixelspatialvisualizations
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Compact visual summaries of spatio-temporal movement data often strive to express accurate positions of movers. We present SpatialRugs, a technique to enhance the spatial awareness of movements in dense pixel visualizations. SpatialRugs apply 2D colormaps to visualize location mapped to a juxtaposed display. We explore the effect of various colormaps discussing perceptual limitations and introduce a custom color-smoothing method to mitigate distorted patterns of collective movement behavior.

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    A quotient-affine Riemannian Gaussian on full-rank correlation matrices has finite moments, exact p=2/Fisher likelihood, and a center-dependent normalizer for p=3 that separates MLE from Fréchet estimation.

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