자료유형 | E-Book |
---|---|
개인저자 | Smith, Stephen D. |
단체저자명 | Cornell University. Natural Resources. |
서명/저자사항 | Development and Application of a Census-Based Regional Residential Growth Model for Biodiversity Risk Assessment. |
발행사항 | [S.l.] : Cornell University., 2018 |
발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
형태사항 | 147 p. |
소장본 주기 | School code: 0058. |
ISBN | 9780438026001 |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Milo E. Richmond. |
요약 | The 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 |
요약 | Initial 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 |
요약 | Additional 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 |
요약 | A 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 |
요약 | These 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 |
일반주제명 | Natural resource management. Wildlife conservation. Land use planning. |
언어 | 영어 |
기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14997379 |
인쇄
No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
---|---|---|---|---|---|---|---|---|
1 | WE00026799 | 333 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |