Titlebook: Immersive Analytics; Kim Marriott,Falk Schreiber,Bruce H. Thomas Book 2018 Springer Nature Switzerland AG 2018 Computer graphics.Computer

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書目名稱Immersive Analytics影響因子(影響力)




書目名稱Immersive Analytics影響因子(影響力)學(xué)科排名




書目名稱Immersive Analytics網(wǎng)絡(luò)公開度




書目名稱Immersive Analytics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Immersive Analytics被引頻次




書目名稱Immersive Analytics被引頻次學(xué)科排名




書目名稱Immersive Analytics年度引用




書目名稱Immersive Analytics年度引用學(xué)科排名




書目名稱Immersive Analytics讀者反饋




書目名稱Immersive Analytics讀者反饋學(xué)科排名

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Thyroid-Gland

Interaction for Immersive Analytics, in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are alr

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Immersive Human-Centered Computational Analytics,nciples. We consider both strategic immersion through more accessible systems as well as enhanced understanding and control through immersive interfaces that enable rapid workflows. We extend the classic sensemaking loop from visual analytics to incorporate multiple views, scenarios, people, and com

accordance

Immersive Visual Data Stories,ies are an important means for communicating information, the extent to which viewers feel immersed in such stories has so far been hardly explored. In this chapter, we explore the concept of immersion in visual data stories from the viewpoint of related disciplines in which narratives play an impor

肥料

Situated Analytics,se of understanding, sensemaking, and decision-making. The components of situated analytics are characterized in greater detail, including the users, tasks, data, representations, interactions, and analytical processes involved. Several case studies of projects and products are presented that exempl

Needlework

Collaborative Immersive Analytics,mersive Analytics (CIA) and reviews how immersive technologies can be combined with Visual Analytics to facilitate co-located and remote collaboration. We provide a definition of Collaborative Immersive Analytics and then an overview of the different types of possible collaboration. The chapter also

施舍

Just 5 Questions: Toward a Design Framework for Immersive Analytics,heir framework to take into account . are the people or teams of people who are going to use the system, and . is the system to be used and what are the available devices and technology. In addition, the . component is extended to cater for collaboration, multisensory presentation, interaction with

Intruder

Immersive Analytics Applications in Life and Health Sciences,r boards), pharmacology (e.g., research of adverse drug reactions), biology (e.g., immersive virtual cells) and ecology (e.g., analytics of animal behaviour). We present a brief overview of general applications of immersive analytics in the life and health sciences, and present a number of applicati