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|a Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments |h [electronic resource]. |
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|a [S.l.] : |b Springer, |c 2012. |
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|a Journal of Coastal Conservation. |
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|a Please contact the owning institution for licensing and permissions. It is the user's responsibility to ensure use does not violate any third party rights. |
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|a This article reports on the application of dasymetric
mapping techniques to interpolate and disaggregate
block group population counts to smaller areal units (i.e.,
tax parcels) and derive surface population models with more
realistic representations of population distributions in our
residential study area in Miami-Dade, Florida. Three methods
of dasymetric interpolation were tested: (i) binary, (ii)
three-class, and (iii) limiting variable. Our enhanced limiting
variable approach introduced an adjustment factor for
parcel vacancy rates in the dasymetric calculations, and
applied dasymetric mapping techniques to disaggregate future
population projections to the tax lot level of analysis.
The limiting variable interpolation generated the lowest
coefficient of variation (0.188), followed by the three-class
interpolation (0.645). We also found that population densities
vary substantially within land use classes of single
family, medium density and high density classes, and these
variations also highlighted the importance of incorporating
vacancy rates when interpolating population counts to categorical
land use data. Overall, the enhanced dasymetric
mapping technique is particularly useful for examining the
impact of sea-level rise as its derivatives are compatible
with high resolution LiDAR and orthoimagery data.
Coastal counties can also benefit from such high resolution
surface population models to enhance the accuracy of
hazard-related vulnerability assessments and to guide the development
of relevant shore zone conservation and adaptation
strategies. |
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|a Electronic reproduction. |c Florida International University, |d 2015. |f (dpSobek) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software. |
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|t Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments |
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|a Florida Documents Collection. |
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|a South Florida Collection. |
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|a dpSobek |c Sea Level Rise |
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|u http://dpanther.fiu.edu/dpService/dpPurlService/purl/FI15061862/00001 |y Click here for full text |
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|3 Host material |u http://link.springer.com/article/10.1007%2Fs11852-012-0206-3#page-1 |y Using enhanced dasymetric mapping techniques to improve the spatial accuracy of sea level rise vulnerability assessments |
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|a http://dpanther.fiu.edu/sobek/content/FI/15/06/18/62/00001/FI15061862thm.jpg |
