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Development and Application of a Census-Based Regional Residential Growth Model for Biodiversity Risk Assessment

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서명/저자사항Development and Application of a Census-Based Regional Residential Growth Model for Biodiversity Risk Assessment.
개인저자Smith, Stephen D.
단체저자명Cornell University. Natural Resources.
발행사항[S.l.]: Cornell University., 2018.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2018.
형태사항147 p.
기본자료 저록Dissertation Abstracts International 79-10B(E).
Dissertation Abstract International
ISBN9780438026001
학위논문주기Thesis (Ph.D.)--Cornell University, 2018.
일반주기 Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Milo E. Richmond.
요약The USGS National GAP Program is a biodiversity mapping program implemented at the state level via the Cooperative Fish & Wildlife Research Units (CFWRU). The New York CFWRU completed NY-GAP analysis in 2001, providing, for the first time, a sta
요약Initial efforts resulted in a regression model which predicted 77 of the 2,212 total BG in the study area to be prime candidates for a substantial percentage of the predicted new residential growth. These BGs, classified as intensive growth area
요약Additional model development provided a slight improvement to the predictability of the model while using only digitally available regional data. The second model explained 38% of the variance associated with the identification of IGAs and ident
요약A third modeling effort was undertaken to improve upon the earlier residential housing prediction models based on regression analysis of Census-based BG data and physiographic variables aggregated to the BG level geography. It was hypothesized t
요약These efforts to model residential growth at the landscape scale support the hypothesis that the spatial distribution of residential housing growth can be modeled using Census Block Group (BG) level data and other publicly available data to prov
일반주제명Natural resource management.
Wildlife conservation.
Land use planning.
언어영어
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