語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Immersive analytics
~
Marriott, Kim.
Immersive analytics
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Immersive analyticsedited by Kim Marriott ... [et al.].
其他作者:
Marriott, Kim.
出版者:
Cham :Springer International Publishing :2018.
面頁冊數:
xi, 357 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Information visualization.
電子資源:
http://dx.doi.org/10.1007/978-3-030-01388-2
ISBN:
9783030013882$q(electronic bk.)
Immersive analytics
Immersive analytics
[electronic resource] /edited by Kim Marriott ... [et al.]. - Cham :Springer International Publishing :2018. - xi, 357 p. :ill., digital ;24 cm. - Lecture notes in computer science,111900302-9743 ;. - Lecture notes in computer science ;4891..
Immersive Analytics: An Introduction -- Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualization -- Multisensory Immersive Analytics -- Interaction for Immersive Analytics -- Immersive Human-Centered Computational Analytics -- Immersive Visual Data Stories -- Situated Analytics -- Collaborative Immersive Analytics.
Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.
ISBN: 9783030013882$q(electronic bk.)
Standard No.: 10.1007/978-3-030-01388-2doiSubjects--Topical Terms:
248886
Information visualization.
LC Class. No.: QA76.9.I52
Dewey Class. No.: 001.4226
Immersive analytics
LDR
:01864nmm a2200337 a 4500
001
545666
003
DE-He213
005
20181015071846.0
006
m d
007
cr nn 008maaau
008
190530s2018 gw s 0 eng d
020
$a
9783030013882$q(electronic bk.)
020
$a
9783030013875$q(paper)
024
7
$a
10.1007/978-3-030-01388-2
$2
doi
035
$a
978-3-030-01388-2
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.I52
072
7
$a
UN
$2
bicssc
072
7
$a
UMT
$2
bicssc
072
7
$a
COM021000
$2
bisacsh
082
0 4
$a
001.4226
$2
23
090
$a
QA76.9.I52
$b
I33 2018
245
0 0
$a
Immersive analytics
$h
[electronic resource] /
$c
edited by Kim Marriott ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xi, 357 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
11190
505
0
$a
Immersive Analytics: An Introduction -- Immersive Analytics: Time to Reconsider the Value of 3D for Information Visualization -- Multisensory Immersive Analytics -- Interaction for Immersive Analytics -- Immersive Human-Centered Computational Analytics -- Immersive Visual Data Stories -- Situated Analytics -- Collaborative Immersive Analytics.
520
$a
Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. Here the aims of immersive analytics research are clarified, its opportunities and historical context, as well as providing a broad research agenda for the field. In addition, it is reviewed how the term immersion has been used to refer to both technological and psychological immersion, both of which are central to immersive analytics research.
650
0
$a
Information visualization.
$3
248886
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Database Management.
$3
273994
700
1
$a
Marriott, Kim.
$3
346568
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
856
4 0
$u
http://dx.doi.org/10.1007/978-3-030-01388-2
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000162623
電子館藏
1圖書
電子書
EB QA76.9.I52 I33 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-030-01388-2
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入