TY - JOUR
T1 - Fusion of visual channels
AU - Chen, Min
AU - Mueller, Klaus
AU - Ynnerman, Anders
N1 - Publisher Copyright:
© Springer-Verlag London 2014.
PY - 2014
Y1 - 2014
N2 - In this chapter, we consider the need in multifield visualization to depict information contained in two or more fields in a compositional manner. There are many different visual channels, some of which are more commonly seen in visualization than others. Channel fusion occurs when two or more visual entities have to share the same screen space. By applying appropriate constructive operations on visual channels in the composition, one may encode the integration as well as separation of the underlying information depicted by the original channels. One special situation is where multiple fields are a set of fields from different temporal steps, which imposes additional constraints on the use of visual channels. It is inevitable that the availability of visual channels will not be able to scale up to a large number of visual channels. Hence, we consider briefly several general-purpose data mapping methods that can be used to reduce the complexity of visual mapping.
AB - In this chapter, we consider the need in multifield visualization to depict information contained in two or more fields in a compositional manner. There are many different visual channels, some of which are more commonly seen in visualization than others. Channel fusion occurs when two or more visual entities have to share the same screen space. By applying appropriate constructive operations on visual channels in the composition, one may encode the integration as well as separation of the underlying information depicted by the original channels. One special situation is where multiple fields are a set of fields from different temporal steps, which imposes additional constraints on the use of visual channels. It is inevitable that the availability of visual channels will not be able to scale up to a large number of visual channels. Hence, we consider briefly several general-purpose data mapping methods that can be used to reduce the complexity of visual mapping.
UR - https://www.scopus.com/pages/publications/84921775992
U2 - 10.1007/978-1-4471-6497-5_12
DO - 10.1007/978-1-4471-6497-5_12
M3 - Article
AN - SCOPUS:84921775992
SN - 1612-3786
VL - 37
SP - 119
EP - 127
JO - Mathematics and Visualization
JF - Mathematics and Visualization
ER -