Return to search

High Resolution Population Distribution Estimates for Improved Decision Making, With a Case Study of Sea-Level Rise Vulnerability in Boca Raton, Florida

Planners and managers often rely on coarse population distribution data from the
census for addressing various social, economic, and environmental problems. In the
analysis of physical vulnerabilities to sea-level rise, census units such as blocks or block
groups are coarse relative to the required decision-making application. This study
explores the benefits offered from integrating image classification and dasymetric
mapping at the household level to provide detailed small area population estimates at the
scale of residential buildings. In a case study of Boca Raton, FL, a sea-level rise
inundation grid based on mapping methods by NOAA is overlaid on the highly detailed
population distribution data to identify vulnerable residences and estimate population
displacement. The enhanced spatial detail offered through this method has the potential to
better guide targeted strategies for future development, mitigation, and adaptation efforts. / Includes bibliography. / Thesis (M.A.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

Identiferoai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_33726
ContributorsZiegler, Hannes Moritz (author), Xie, Zhixiao (Thesis advisor), Florida Atlantic University (Degree grantor), Charles E. Schmidt College of Science, Department of Geosciences
PublisherFlorida Atlantic University
Source SetsFlorida Atlantic University
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation, Text
Format90 p., application/pdf
RightsCopyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder., http://rightsstatements.org/vocab/InC/1.0/

Page generated in 0.0023 seconds