@article {929,
	title = {The Making of Continuous Colormaps},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {27},
	year = {2021},
	month = {June},
	pages = {3048-3063},
	abstract = {Continuous colormaps are integral parts of many visualization techniques, such as heat-maps, surface plots, and flow visualization. Despite that the critiques of rainbow colormaps have been around and well-acknowledged for three decades, rainbow colormaps are still widely used today. One reason behind the resilience of rainbow colormaps is the lack of tools for users to create a continuous colormap that encodes semantics specific to the application concerned. In this paper, we present a web-based software system, CCC-Tool (short for Charting Continuous Colormaps) under the URL https://ccctool.com, for creating, editing, and analyzing such application-specific colormaps. We introduce the notion of {\textquotedblleft}colormap specification (CMS){\textquotedblright} that maintains the essential semantics required for defining a color mapping scheme. We provide users with a set of advanced utilities for constructing CMS{\textquoteright}s with various levels of complexity, examining their quality attributes using different plots, and exporting them to external application software. We present two case studies, demonstrating that the CCC-Tool can help domain scientists as well as visualization experts in designing semantically-rich colormaps.},
	issn = {1941-0506},
	doi = {10.1109/TVCG.2019.2961674},
	author = {Nardini, Pascal and Chen, Min and Samsel, Francesca and Bujack, Roxana and B{\"o}ttinger, Michael and Scheuermann, Gerik}
}
@article {934,
	title = {A Testing Environment for Continuous Colormaps},
	journal = {IEEE Transactions on Visualization and Computer Graphics},
	volume = {27},
	year = {2021},
	month = {Feb},
	pages = {1043-1053},
	abstract = {Many computer science disciplines (e.g., combinatorial optimization, natural language processing, and information retrieval) use standard or established test suites for evaluating algorithms. 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 areas, such as designing colormaps. In this paper, we propose to establish a test suite for evaluating the design of colormaps. With such a suite, the users can observe the effects when different continuous colormaps are applied to planar scalar fields that may exhibit various characteristic features, such as jumps, local extrema, ridge or valley lines, different distributions of scalar values, different gradients, different signal frequencies, different levels of noise, and so on. The suite also includes an expansible collection of real-world data sets including the most popular data for colormap testing in the visualization literature. The test suite has been integrated into a web-based application for creating continuous colormaps (https://ccctool.com/), facilitating close inter-operation between design and evaluation processes. This new facility complements traditional evaluation methods such as user testimonies and empirical studies.},
	issn = {1941-0506},
	doi = {10.1109/TVCG.2020.3028955},
	author = {Nardini, Pascal and Chen, Min and Bujack, Roxana and B{\"o}ttinger, Michael and Scheuermann, Gerik}
}
@inbook {937,
	title = {Case Studies for Working with Domain Experts},
	booktitle = {Foundations of Data Visualization},
	year = {2020},
	pages = {255{\textendash}278},
	publisher = {Springer International Publishing},
	organization = {Springer International Publishing},
	address = {Cham},
	abstract = {The collaboration with domain experts concentrates always on an application domain where the experts work. Usually, they provide the data and directions of research that require visualization support. This chapter presents seven successful cases of such collaborations. The domain varies from biology and medicine to mechanical engineering. There are examples of long time cooperation as well as smaller short-term projects. The description concentrates on the process, output, and especially on the lessons learnt from these cooperations. The scientific work is described to understand the context and goals of the cooperation, but many details can only be found in the references. The reason for this unusual writing is the wish on the one hand to describe various aspects of collaboration with domain experts which is an important part of the foundations of data visualization. On the other hand, the text should not become lengthy and filled with too many details of individual cases that can be found elsewhere.},
	isbn = {978-3-030-34444-3},
	doi = {10.1007/978-3-030-34444-3_13},
	url = {https://doi.org/10.1007/978-3-030-34444-3_13},
	author = {Beyer, Johanna and Hansen, Charles and Hlawitschka, Mario and Hotz, Ingrid and Kozl{\'\i}kov{\'a}, Barbora and Scheuermann, Gerik and Stommel, Markus and Streit, Marc and Waschke, Johannes and Wischgoll, Thomas and Wan, Yong},
	editor = {Chen, Min and Hauser, Helwig and Rheingans, Penny and Scheuermann, Gerik}
}
