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Cartographic and projective techniques for a Corvallis area electrical load forecast

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dc.contributor.advisor Kimerling, A. Jon
dc.creator Troseth, Steven
dc.date.accessioned 2008-11-04T22:13:13Z
dc.date.available 2008-11-04T22:13:13Z
dc.date.issued 1979-04-11
dc.identifier.uri http://hdl.handle.net/1957/9664
dc.description Graduation date: 1979 en_US
dc.description Presentation date: 1979-04-11
dc.description.abstract The Corvallis area study is made to help evaluate the local need for additional system capacity ten years in the future. The product of the study is an areally detailed projection of electrical demand. The demand is derived in two steps: the location, nature, and intensity of specific land uses are predicted, and usage indicators are applied to those activities. The usage indicators are not developed in this paper. The projections of land use are based in part on the capacities for and constraints on development as outlined in zoning ordinances and the Corvallis Comprehensive Plan. Other determinants of growth potential include location, ownership, available services, and an impression of the future rate and direction of urban expansion. The overall projection is the sum of 464 small-area projections. These are made with a limited use of extrapolation and an extensive use of informed opinion--contacts with planners, developers, and administrators being the primary external guidance. The projections of housing units are converted to population figures and are compared with an existing population projection, and they are found to be in reasonable accord. The results of the project are presented cartographically, showing the expected growth in both population and electrical demand. en_US
dc.language.iso en_US en_US
dc.subject.lcsh Electric utilities -- Oregon -- Corvallis en_US
dc.title Cartographic and projective techniques for a Corvallis area electrical load forecast en_US
dc.type Thesis en_US
dc.degree.name Master of Science (M.S.) in Geography en_US
dc.degree.level Master's en_US
dc.degree.discipline Science en_US
dc.degree.grantor Oregon State University en_US
dc.description.digitization Master files scanned at 600 ppi (256 Grayscale, 24-bit Color) using Capture Perfect 3.0 on a Canon DR-9080C in TIF format. PDF derivative scanned at 300 ppi (256 B&W, 256 Grayscale, 24-bit Color), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR. en_US

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