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Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation - a genetic algorithm approach

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dc.contributor.authorTomppo, E.-
dc.contributor.authorHalme, M.-
dc.contributor.departmentMetsäntutkimuslaitos-
dc.date.accessioned2015-06-25T10:39:23Z
dc.date.accessioned2025-05-29T12:48:10Z
dc.date.available2015-06-25T10:39:23Z
dc.date.issued2006-
dc.format.bitstreamfalse
dc.format.pagerange29-
dc.identifier.bibliographicCitationTomppo, E. & Halme, M. 2006. Using coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation - a genetic algorithm approach. In: Cieszewski, C.J. & Strub, M. (eds.). Second International Conference on Forest Measurements and Quantitative Methods and Management & The 2004 Southern Mensurationists Meeting, 15-18 June 2004, Hot Springs, Arkansas, USA. Proceedings. p. 29.-
dc.identifier.olddbid455844
dc.identifier.oldhandle10024/514306
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/71642
dc.language.isoeng-
dc.lukeperson12597-
dc.metlaperson272-
dc.metlasuorite58902-
dc.ohjelmaMetla / Valtakunnan metsien inventointi (VM1)-
dc.publisher.countryUS-
dc.relation.ispartofSecond International Conference on Forest Measurements and Quantitative Methods and Management & The 2004 Southern Mensurationists Meeting, 15-18 June 2004, Hot Springs, Arkansas, USA. Proceedings / Ed. Cieszewski, C.J. & Strub, M.-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/514306
dc.subject.keywordk:n lähimmän naapurin menetelmä-
dc.teh3241-
dc.titleUsing coarse scale forest variables as ancillary information and weighting of variables in k-NN estimation - a genetic algorithm approach-
dc.type.okmfi=M2 Esitelmä tai posteri|sv=M2 Presentation|en=M2 Presentation or poster|-

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