[-] Show simple item record

dc.contributor.advisorHe, Hong S.eng
dc.contributor.authorZhou, Boeng
dc.date.issued2012eng
dc.date.submitted2012 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on March 5, 2013).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Hong S. Heeng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionVita.eng
dc.descriptionPh.D. University of Missouri--Columbia 2012.eng
dc.description"December 2012"eng
dc.description.abstractMissouri reflects a full range of sprawl characteristics that include large metropolitan centers, which led growth in 1980s, and smaller metropolitan and rural areas, which led growth in 1990s. In order to study the historical patterns of sprawl, there is a need to quantitatively and geographically depict the extent and density of impervious surface for three time periods of 1980, 1990, and 2000 for the entire state of Missouri. Mapped impervious surface is the best candidate of ancillary data for dasymetric mapping of population in several comparison studies. The current research examines the performances of dasymetric mapping of population with imperviousness as ancillary data and regression analysis of population using imperviousness as a predictor Results from this work can be aggregated to any geographical unit (hydrologic boundaries, administrative boundaries, etc.). A pilot future urban growth study for the two decades of 1980s and 1990s was done in Missouri. The historical urban growth of the two decades were analyzed then coupled with various predictor variables to investigate the influence of each predictor variables towards the process of urban growth. The knowledge learned from the process is then used to build an urban growth simulation model that is GIS-based with open framework for ease of management and improvement. Pixel level urban growth was simulated for year 2010, 2020 and 2030. This model framework is developed with the ultimate goal of simulating urban growth for the entire state of Missouri.eng
dc.description.bibrefIncludes bibliographical referenceseng
dc.format.extentxii, 142 pageseng
dc.identifier.oclc872569247eng
dc.identifier.urihttps://doi.org/10.32469/10355/33118eng
dc.identifier.urihttps://hdl.handle.net/10355/33118
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri--Columbia. Graduate School. Theses and Dissertations.eng
dc.rightsOpenAccesseng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectsprawl characteristicseng
dc.subjecturban growtheng
dc.subjectecological impacteng
dc.titleUrban sprawl in the state of Missouri : current trends, driving forces, and predicted growth on Missouri's natural landscapeeng
dc.typeThesiseng
thesis.degree.disciplineForestry (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


Files in this item

[PDF]
[PDF]
[PDF]

This item appears in the following Collection(s)

[-] Show simple item record