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

Usability evaluation of cloud-based ...

Stotz, Nicole Marie.

FindBook

Google Book

Amazon

博客來

Usability evaluation of cloud-based mapping tools for the display of very large datasets.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Usability evaluation of cloud-based mapping tools for the display of very large datasets./
作者:	Stotz, Nicole Marie.
面頁冊數:	60 p.
附註:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
標題:	Geographic information science and geodesy. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1588725
ISBN:	9781321748314

Usability evaluation of cloud-based mapping tools for the display of very large datasets.
Stotz, Nicole Marie.

Usability evaluation of cloud-based mapping tools for the display of very large datasets. - 60 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.S.)--San Diego State University, 2015.

The elasticity and on-demand nature of cloud services have made it easier to create web maps. Users only need access to a web browser and the Internet to utilize cloud based web maps, eliminating the need for specialized software. To encourage a wide variety of users, a map must be well designed; usability is a very important concept in designing a web map. Fusion Tables, a new product from Google, is one example of newer cloud-based distributed GIS services. It allows for easy spatial data manipulation and visualization, within the Google Maps framework. ESRI has also introduced a cloud based version of their software, called ArcGIS Online, built on Amazon's EC2 cloud. Utilizing a user-centered design framework, two prototype maps were created with data from the San Diego East County Economic Development Council. One map was built on Fusion Tables, and another on ESRI's ArcGIS Online. A usability analysis was conducted and used to compare both map prototypes in term so of design and functionality. Load tests were also ran, and performance metrics gathered on both map prototypes. The usability analysis was taken by 25 geography students, and consisted of time based tasks and questions on map design and functionality. Survey participants completed the time based tasks for the Fusion Tables map prototype quicker than those of the ArcGIS Online map prototype. While response was generally positive towards the design and functionality of both prototypes, overall the Fusion Tables map prototype was preferred. For the load tests, the data set was broken into 22 groups for a total of 44 tests. While the Fusion Tables map prototype performed more efficiently than the ArcGIS Online prototype, differences are almost unnoticeable. A SWOT analysis was conducted for each prototype. The results from this research point to the Fusion Tables map prototype. A redesign of this prototype would incorporate design suggestions from the usability survey, while some functionality would need to be dropped. This is a free product and would therefore be the best option if cost is an issue, but this map may not be supported in the future.

ISBN: 9781321748314Subjects--Topical Terms:

2122917
Geographic information science and geodesy.

Usability evaluation of cloud-based mapping tools for the display of very large datasets.
LDR:03008nmm a2200277 4500 001 2079432
005 20170313112146.5
008 170521s2015 ||||||||||||||||| ||eng d
020 $a 9781321748314
035 $a (MiAaPQ)AAI1588725
035 $a AAI1588725
040 $a MiAaPQ $c MiAaPQ
100 1 $a Stotz, Nicole Marie. $3 3195111
245 1 0 $a Usability evaluation of cloud-based mapping tools for the display of very large datasets.
300 $a 60 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: Ming-Hsiang Tsou.
502 $a Thesis (M.S.)--San Diego State University, 2015.
520 $a The elasticity and on-demand nature of cloud services have made it easier to create web maps. Users only need access to a web browser and the Internet to utilize cloud based web maps, eliminating the need for specialized software. To encourage a wide variety of users, a map must be well designed; usability is a very important concept in designing a web map. Fusion Tables, a new product from Google, is one example of newer cloud-based distributed GIS services. It allows for easy spatial data manipulation and visualization, within the Google Maps framework. ESRI has also introduced a cloud based version of their software, called ArcGIS Online, built on Amazon's EC2 cloud. Utilizing a user-centered design framework, two prototype maps were created with data from the San Diego East County Economic Development Council. One map was built on Fusion Tables, and another on ESRI's ArcGIS Online. A usability analysis was conducted and used to compare both map prototypes in term so of design and functionality. Load tests were also ran, and performance metrics gathered on both map prototypes. The usability analysis was taken by 25 geography students, and consisted of time based tasks and questions on map design and functionality. Survey participants completed the time based tasks for the Fusion Tables map prototype quicker than those of the ArcGIS Online map prototype. While response was generally positive towards the design and functionality of both prototypes, overall the Fusion Tables map prototype was preferred. For the load tests, the data set was broken into 22 groups for a total of 44 tests. While the Fusion Tables map prototype performed more efficiently than the ArcGIS Online prototype, differences are almost unnoticeable. A SWOT analysis was conducted for each prototype. The results from this research point to the Fusion Tables map prototype. A redesign of this prototype would incorporate design suggestions from the usability survey, while some functionality would need to be dropped. This is a free product and would therefore be the best option if cost is an issue, but this map may not be supported in the future.
590 $a School code: 0220.
650 4 $a Geographic information science and geodesy. $3 2122917
650 4 $a Remote sensing. $3 535394
690 $a 0370
690 $a 0799
710 2 $a San Diego State University. $b Geography. $3 3177545
773 0 $t Masters Abstracts International $g 54-04(E).
790 $a 0220
791 $a M.S.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1588725