A Taxonomy of Visualization Techniques Using the Data State Reference Model Export

@article{citeulike:108977, abstract = {In previous work, researchers have attempted to construct taxonomies of information visualization techniques by examining the data domains that are compatible with these techniques. This is useful because implementers can quickly identify various techniques that can be applied to their domain of interest. However, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper, we will extend and then propose a new way to taxonomize information visualization techniques by using the Data State Model [Chi98]. In fact, as the taxonomic analysis in this paper will show, many of the techniques share similar operating steps that can easily be reused. The paper shows that the Data State Model not only helps researchers understand the space of design, but also helps implementers understand how information visualization techniques can be applied more broadly.}, address = {Los Alamitos, CA, USA}, author = {Chi, Ed H.}, citeulike-article-id = {108977}, citeulike-linkout-0 = {http://doi.ieeecomputersociety.org/10.1109/INFVIS.2000.885092}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/INFVIS.2000.885092}, citeulike-linkout-2 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=885092}, doi = {10.1109/INFVIS.2000.885092}, issn = {1522-404X}, journal = {Information Visualization, IEEE Symposium on}, keywords = {framework, visualization}, pages = {69--75}, posted-at = {2006-01-18 21:22:46}, priority = {5}, publisher = {IEEE Computer Society}, title = {A Taxonomy of Visualization Techniques Using the Data State Reference Model}, url = {http://dx.doi.org/10.1109/INFVIS.2000.885092}, volume = {0}, year = {2000} }

TY - JOUR ID - citeulike:108977 L3 - citeulike-article-id:108977 N2 - In previous work, researchers have attempted to construct taxonomies of information visualization techniques by examining the data domains that are compatible with these techniques. This is useful because implementers can quickly identify various techniques that can be applied to their domain of interest. However, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper, we will extend and then propose a new way to taxonomize information visualization techniques by using the Data State Model [Chi98]. In fact, as the taxonomic analysis in this paper will show, many of the techniques share similar operating steps that can easily be reused. The paper shows that the Data State Model not only helps researchers understand the space of design, but also helps implementers understand how information visualization techniques can be applied more broadly. JF - Information Visualization, IEEE Symposium on SN - 1522-404X AD - Los Alamitos, CA, USA EP - 75 TI - A Taxonomy of Visualization Techniques Using the Data State Reference Model PB - IEEE Computer Society VL - 0 SP - 69 KW - framework KW - visualization AU - Chi, Ed PY - 2000/// UR - http://dx.doi.org/10.1109/INFVIS.2000.885092 ER -