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The relation between color and spatial structure for interpreting colormap data visualizations

Shannon C Sibrel, Ragini Rathore, Laurent Lessard, Karen B Schloss
2020 Journal of Vision  
Interpreting colormap visualizations requires determining how dimensions of color in visualizations map onto quantities in data.  ...  Thus, in the presence of strong spatial cues to the locus of larger quantities, color-based biases still influenced interpretations of colormap data visualizations.  ...  Acknowledgments The authors thank Kevin Lande, Anna Bartel Footnote 1 We used device-dependent RGB coordinates to specify the colormaps because we aimed to study colormaps that people typically use in  ... 
doi:10.1167/jov.20.12.7 pmid:33201220 pmcid:PMC7683863 fatcat:raeofmawcvbf5md4m555u5pafq

Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes [article]

Jian Chen and Guohao Zhang and Wesley Chiou and David H. Laidlaw and Alexander P. Auchus
2018 arXiv   pre-print
Isoluminant-rainbow coloring led to the same ensemble mean accuracy as other colormaps.  ...  We report empirical study results on the color encoding of ensemble scalar and orientation to visualize diffusion magnetic resonance imaging (DMRI) tubes.  ...  ACKNOWLEDGMENTS The authors would like to thank Drs. Peter Kochunov, L. Elliot Hong, and Neda Jahanshad for their discussions on color uses in brain science, Dr.  ... 
arXiv:1810.07882v1 fatcat:4t6wyw6l7nh3ncbsvjbxnvl45i

Designing Pairs of Colormaps for Visualizing Bivariate Scalar Fields

Colin Ware, Francesca Samsel, David H. Rogers, Paul Navratil, Ayat Mohammed
2020 Eurographics Conference on Visualization  
In scientific visualization there is sometimes a requirement for two colormaps to be used to represent two co-registered scalar fields.  ...  One solution is to represent one of the fields as a continuous colormapped image, and the second field by means of a dense distribution of small glyphs overlaid on the background image and coded using  ...  data visualization.  ... 
doi:10.2312/evs.20201047 dblp:conf/vissym/WareSRNM20 fatcat:hobpxqtnqrdftfkwj3wnqlyeau

Review of visualization methods for passive polarization imaging

Andrew W. Kruse, Andrey S. Alenin, J. Scott Tyo
2019 Optical Engineering: The Journal of SPIE  
We provide recommendations for choosing a visualization based on the data structure, spatial frequency, and analysis goals.  ...  Collected sources for the different types of visualizations used in the field of polarization imaging are not extensive.  ...  Acknowledgments Ground MSPI data are provided by C. L. Bradley  ... 
doi:10.1117/1.oe.58.8.082414 fatcat:dnvc42s4ajh65nqucy6moqhzzm

How Not to Lie with Visualization

Bernice E. Rogowitz, Lloyd A. Treinish, Steve Bryson
1996 Computers in physics  
The authors wish to acknowledge Lawrence Bergman's contribution to the development of PRAVDAColor and John Gerth's extension of the PRAVDAColor isomorphic maps to region-of-interest highlighting in satellite  ...  How NOT to Lie with Visualization  ...  In this isomorphic colormap equal steps in data value correspond to equal perceptual steps in the color scale. The segmented colormap (lower left) is designed to delineate regions visually.  ... 
doi:10.1063/1.4822401 fatcat:jwiuhsiksvbm7cmhwjoe6a5e5e

A Testing Environment for Continuous Colormaps [article]

Pascal Nardini, Min Chen, Roxana Bujack, Michael Böttinger, Gerik Scheuermann
2020 arXiv   pre-print
The suite also includes an expansible collection of real-world data sets including the most popular data for colormap testing in the visualization literature.  ...  In visualization, similar approaches have been adopted in some areas (e.g., volume visualization), while user testimonies and empirical studies have been the dominant means of evaluation in most other  ...  Local means that these test functions help to check the appearance of local properties of a scalar function after mapping it to color with the selected color map.  ... 
arXiv:2009.13133v1 fatcat:2o3mz6ntnnaa3bmgelgzvc4k64

ColorCAT: Guided Design of Colormaps for Combined Analysis Tasks [article]

Sebastian Mittelstädt, Dominik Jäckle, Florian Stoffel, Daniel A. Keim
2015 Eurographics Conference on Visualization  
In this paper, we propose a methodology and tool to design colormaps for combined analysis tasks. We define color mapping requirements and develop a set of design guidelines.  ...  A number of well-known tools exist to support the design of colormaps. ColorBrewer [HB03], for example, is a great resource to select colors for qualitative, sequential, and diverging data.  ...  To provide an appropriate color mapping, the visual importance V I of a color i must encode the data importance DI (Eq. 1).  ... 
doi:10.2312/eurovisshort.20151135 dblp:conf/vissym/MittelstadtJSK15 fatcat:dv4je6fshngfjn7sims2jemxgu

Graphical Perception of Continuous Quantitative Maps

Khairi Reda, Pratik Nalawade, Kate Ansah-Koi
2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18  
We interpret these results in relation to current practices, and devise new and more granular guidelines for color mapping in continuous maps.  ...  We conducted a series of crowdsourced experiments to investigate how the perception of continuous maps is affected by colormap characteristics and spatial frequency (a measure of data complexity).  ...  RELATED WORK Color mapping involves the transformation of quantitative or categorical attributes into color by means of a colormap.  ... 
doi:10.1145/3173574.3173846 dblp:conf/chi/RedaNA18 fatcat:fqy6bpl2j5ep3fz46cmetd2rum

A Study of Colormaps in Network Visualization

Raja Mubashar Karim, Oh-Hyun Kwon, Chanhee Park, Kyungwon Lee
2019 Applied Sciences  
Color is a widely used visual channel for encoding data in visualization design. It is important to select the appropriate type of color mapping to better understand the data.  ...  Thus, in this paper, we investigate the effects of several colormaps in network visualization using node-link diagrams.  ...  Introduction Color is commonly used for the visual encoding of data in many visualization designs. A colormap specifically refers to a mapping from data values to colors.  ... 
doi:10.3390/app9204228 fatcat:eqfl5dfjnff7xlecb3ofpaoluy

Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography

Yuchong Zhang, Morten Fjeld, Marco Fratarcangeli, Alan Said, Shengdong Zhao
2021 Sensors  
We also found that the colormaps triggering emotions in the positive–exciting quadrant can facilitate more accurate visual comprehension than other affect-related quadrants.  ...  We concluded that three colormaps are the best suited in the context of MWT tasks.  ...  The goal of color-mapping is to effectively communicate these features from visual imagery to those data that are the most prominent in hands-on tasks [4] .  ... 
doi:10.3390/s21144766 fatcat:lkauy7i3obd6li6zorcmlto24m

Structural biologists, lets mind our colors [article]

Shyam M Saladi, Ailiena O Maggiolo, Kate Radford, William M Clemons
2020 biorxiv/medrxiv   pre-print
Here, we identify three keys, and have written accompanying software plugins, for structural biologists to create figures truer to the hard-won data and clearer across different modes of color vision and  ...  Use perceptually uniform colormaps 2. Consider readers with different modes of color vision 3. Be explicit about scales and color usage  ...  Main Text To visualize numerical relationships, we rely on colormaps to convert quantitative data into colors.  ... 
doi:10.1101/2020.09.22.308593 fatcat:eqlmztue5jfpzp2f4b734kmlt4

Visualizing modular forms [article]

David Lowry-Duda
2020 arXiv   pre-print
Much of this discussion applies to general visualizations of complex-valued functions in the plane.  ...  We then introduce a method of visualization that can take advantage of colormaps in Python's matplotlib library, describe an implementation, and give more examples.  ...  In addition, we wish to take advantage of the broader capabilities that exist in the Python/SageMath data visualization ecosystem.  ... 
arXiv:2002.05234v2 fatcat:f5fvlnc7gnfwvnn4obrjzkz5lq

Categorical Colormap Optimization with Visualization Case Studies

H. Fang, S. Walton, E. Delahaye, J. Harris, D. A. Storchak, M. Chen
2017 IEEE Transactions on Visualization and Computer Graphics  
Mapping a set of categorical values to different colors is an elementary technique in data visualization.  ...  In practice, users often have to select a set of colors in a semantically meaningful way (e.g., based on conventions, color metaphors, and logological associations), and consequently would like to ensure  ...  Categorical colormaps (or qualitative colormaps) are commonly featured in visualization for mapping data values to distinct colors, allowing users to identify categories of values quickly through association  ... 
doi:10.1109/tvcg.2016.2599214 pmid:27875201 fatcat:la65swh7obcuzbmi7khhe3exkm

Optimizing colormaps with consideration for color vision deficiency to enable accurate interpretation of scientific data

Jamie R. Nuñez, Christopher R. Anderton, Ryan S. Renslow, Jesús Malo
2018 PLoS ONE  
This colormap, cividis, enables nearly-identical visual-data interpretation to both groups, is perceptually uniform in hue and brightness, and increases in brightness linearly.  ...  Though this has been known for decades, colormaps with many colors across the visual spectra are often used to represent data, leading to the potential for misinterpretation or difficulty with interpretation  ...  A portion of this research was performed in the W.  ... 
doi:10.1371/journal.pone.0199239 pmid:30067751 pmcid:PMC6070163 fatcat:vxq2uu6yurf45mozd23aqr5a3i

Geoplotlib: a Python Toolbox for Visualizing Geographical Data [article]

Andrea Cuttone, Sune Lehmann, Jakob Eg Larsen
2016 arXiv   pre-print
We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in pure python, and provides  ...  implementations of dot maps, kernel density estimation, spatial graphs, Voronoi tesselation, shapefiles and many more common spatial visualizations.  ...  Acknowledgments This work is funded in part by the High Resolution Networks project (The Villum Foundation), as well as Social Fabric (University of Copenhagen).  ... 
arXiv:1608.01933v1 fatcat:qdqqlgt6tzbrpmhpajk4qaryoi
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