Loading...
Modeling growth and predicting future developed land in the upstate of South Carolina
Campbell, Craig E. Allen, Jeffery Lu, Kang Shou Strom Thurmond Institute
Campbell, Craig E.
Allen, Jeffery
Lu, Kang Shou
Strom Thurmond Institute
Files
Loading...
PDF file
Adobe PDF, 285.47 KB
Abstract
For this study a
comparable model, with some improvements, was developed to predict where the growth
is most likely to occur through the year 2030 for eight counties in the Upstate region of
South Carolina. A geographic information system-based model was developed,
combining a binomial logistic regression approach with expert information provided by
informed participants from throughout the region. A map created from the output of the
growth model shows what the pattern of developed land for the study area might look
like by the year 2030. These results can give decision-makers better information from
which to implement good growth policy for the future of the region.
Issue Date
2007-11
Keywords
Regional planning--South Carolina, Land use--South Carolina--Forecasting
Type
Text
Rights
Copyright status determined to be in the public domain on April 27, 2020 by United States Supreme Court ruling (Georgia et al., Petitioners v. Public.Resource.Org, Inc. : 590 U.S.__(2020))
Digitization Specifications
This South Carolina State Document was either saved from a document available publicly online in PDF format or converted to PDF using Adobe Acrobat DC.