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A case study of social vulnerability...

Burns, Gabriel Ryan.

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A case study of social vulnerability mapping :/ Gabriel R. Burns.
Reminder of title:	issues of scale and aggregation /
Author:	Burns, Gabriel Ryan.
Published:	Saarbrücken, Germany :LAP Lambert Academic Pub., : 2010.,
Description:	iii, 46 p. :ill., maps ;22 cm.
Subject:	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
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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