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

A case study of social vulnerability...

Burns, Gabriel Ryan.

FindBook

Google Book

Amazon

博客來

A case study of social vulnerability mapping : = issues of scale and aggregation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	A case study of social vulnerability mapping :/ Gabriel R. Burns.
其他題名:	issues of scale and aggregation /
作者:	Burns, Gabriel Ryan.
出版者:	Saarbrücken, Germany :LAP Lambert Academic Pub., : 2010.,
面頁冊數:	iii, 46 p. :ill., maps ;22 cm.
標題:	Geographic information systems. -
ISBN:	9783838385341 (pbk.) :

A case study of social vulnerability mapping : = issues of scale and aggregation /
Burns, Gabriel Ryan.

A case study of social vulnerability mapping :issues of scale and aggregation /Gabriel R. Burns. - Saarbrücken, Germany :LAP Lambert Academic Pub.,2010. - iii, 46 p. :ill., maps ;22 cm.

Includes bibliographical references (p. 42-46).

"This study uses geographic information systems to determine if the aggregation of census block data are better than census block group data for analyzing social vulnerability. This was done by applying a social vulnerability method that used census block group data for a countywide analysis and converting it to use census blocks for a countywide analysis and a municipal-wide analysis to determine which level of aggregation provided a more precise representation of social vulnerability. In addition to calculating the social vulnerability, the results were overlaid with an evacuation zone for the threat of a train derailment, determining which aggregation better depicted at-risk populations. The results of the study showed that the census blocks enable a more exact measurement of social vulnerability because they are better at capturing small pockets of high-risk areas. This study concludes that census block are more advantageous than census block groups because they are more sensitive and geographically exact in measuring social vulnerability, allow for a better interpretation of social vulnerability for smaller areas, and show spatial patterns of vulnerability at a finer spatial scale"-- p. [4] of cover.

ISBN: 9783838385341 (pbk.) :EUR49Subjects--Topical Terms:

577070
Geographic information systems.

A case study of social vulnerability mapping : = issues of scale and aggregation /
LDR:01734cam a22001454a 450 001 998285
005 20111027232530.0
008 120214s2010 gw ab b 000 0 eng d
020 $a 9783838385341 (pbk.) : $c EUR49
035 $a SI-BW-100-06
040 $a NDHU $b eng
100 1 $a Burns, Gabriel Ryan. $3 1324169
245 1 2 $a A case study of social vulnerability mapping : $b issues of scale and aggregation / $c Gabriel R. Burns.
260 # $a Saarbrücken, Germany : $b LAP Lambert Academic Pub., $c 2010.
300 $a iii, 46 p. : $b ill., maps ; $c 22 cm.
504 $a Includes bibliographical references (p. 42-46).
520 3 $a "This study uses geographic information systems to determine if the aggregation of census block data are better than census block group data for analyzing social vulnerability. This was done by applying a social vulnerability method that used census block group data for a countywide analysis and converting it to use census blocks for a countywide analysis and a municipal-wide analysis to determine which level of aggregation provided a more precise representation of social vulnerability. In addition to calculating the social vulnerability, the results were overlaid with an evacuation zone for the threat of a train derailment, determining which aggregation better depicted at-risk populations. The results of the study showed that the census blocks enable a more exact measurement of social vulnerability because they are better at capturing small pockets of high-risk areas. This study concludes that census block are more advantageous than census block groups because they are more sensitive and geographically exact in measuring social vulnerability, allow for a better interpretation of social vulnerability for smaller areas, and show spatial patterns of vulnerability at a finer spatial scale"-- p. [4] of cover.
650 # 0 $a Geographic information systems. $3 577070
650 # 0 $a Geospatial data. $3 630237
650 # 0 $a Information storage and retrieval systems $x Geography. $3 568416