東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

The Design of COVE: A Collaborative...

Grochow, Keith.

FindBook

Google Book

Amazon

博客來

The Design of COVE: A Collaborative Ocean Visualization Environment.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Design of COVE: A Collaborative Ocean Visualization Environment./
作者:	Grochow, Keith.
面頁冊數:	149 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: .
Contained By:	Dissertation Abstracts International72-11B.
標題:	Engineering, Marine and Ocean. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3472335
ISBN:	9781124861579

The Design of COVE: A Collaborative Ocean Visualization Environment.
Grochow, Keith.

The Design of COVE: A Collaborative Ocean Visualization Environment. - 149 p.

Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: .

Thesis (Ph.D.)--University of Washington, 2011.

Ocean observatories, exemplified by the NSF Ocean Observatories Initiative (OOI), aim to transform oceanography from an expeditionary to an observation-based science. To do so, new cyberinfrastructure environments are helping scientists from disparate fields jointly conduct experiments, manage large collections of instruments, and explore extensive archives of observed and simulated data. However, such environments often focus on systems, networking, and databases and ignore the critical importance of rich 3D interactive visualization, asset management, and collaboration needed to effectively communicate across interdisciplinary science teams.

ISBN: 9781124861579Subjects--Topical Terms:

1019064
Engineering, Marine and Ocean.

The Design of COVE: A Collaborative Ocean Visualization Environment.
LDR:03066nam 2200301 4500 001 1404476
005 20111205104814.5
008 130515s2011 ||||||||||||||||| ||eng d
020 $a 9781124861579
035 $a (UMI)AAI3472335
035 $a AAI3472335
040 $a UMI $c UMI
100 1 $a Grochow, Keith. $3 1683802
245 1 4 $a The Design of COVE: A Collaborative Ocean Visualization Environment.
300 $a 149 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-11, Section: B, page: .
500 $a Adviser: Edward Lazowska.
502 $a Thesis (Ph.D.)--University of Washington, 2011.
520 $a Ocean observatories, exemplified by the NSF Ocean Observatories Initiative (OOI), aim to transform oceanography from an expeditionary to an observation-based science. To do so, new cyberinfrastructure environments are helping scientists from disparate fields jointly conduct experiments, manage large collections of instruments, and explore extensive archives of observed and simulated data. However, such environments often focus on systems, networking, and databases and ignore the critical importance of rich 3D interactive visualization, asset management, and collaboration needed to effectively communicate across interdisciplinary science teams.
520 $a This dissertation presents the design, implementation, and evaluation of an interactive ocean data exploration system designed to satisfy the unmet needs of the multidisciplinary ocean observatory community. After surveying existing literature and performing a multi-month contextual design study that included input from scientists at multiple institutions, I propose a set of guidelines for the system's user interface and design. Motivated by these guidelines and informed by close collaboration with multidisciplinary ocean scientists, I then present the Collaborative Ocean Visualization Environment (COVE), a new data exploration system that combines the ease of use of geobrowsers, such as Google Earth, with the data exploration and visualization capabilities of sophisticated science systems.
520 $a To validate COVE'S design, I evaluated its capabilities in three ways. (1) User studies showed that it works efficiently for expert and novice data explorers as well as visualization producers and consumers. (2) Multiple real-world science deployments, both on land and at sea, saw it replace existing systems for observatory design, provide faster and more engaging planning and data analysis for science teams, and enhance mission preparation and navigation for the ALVIN research submarine. (3) An analysis of COVE over local, server and cloud-based resources indicated that its flexible work partitioning architecture is essential for real-world observatory data analysis and visualization tasks.
590 $a School code: 0250.
650 4 $a Engineering, Marine and Ocean. $3 1019064
650 4 $a Computer Science. $3 626642
690 $a 0547
690 $a 0984
710 2 $a University of Washington. $3 545923
773 0 $t Dissertation Abstracts International $g 72-11B.
790 1 0 $a Lazowska, Edward, $e advisor
790 $a 0250
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3472335