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dc.contributor.authorÄrje, Johanna
dc.date.accessioned2016-08-26T07:42:35Z
dc.date.available2016-08-26T07:42:35Z
dc.date.issued2016
dc.identifier.isbn978-951-39-6707-9
dc.identifier.otheroai:jykdok.linneanet.fi:1572614
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/51073
dc.description.abstractAquatic ecosystems are facing a growing number of human-induced stressors and the need to implement more biomonitoring to assess the ecological status of water bodies is eminent. This dissertation aims at providing tools to reduce the costs and improve the accuracy of freshwater benthic macroinvertebrate biomonitoring. To improve the cost-e ciency, we consider automated classi cation and develop a novel classi er suitable for complex macroinvertebrate image data. To enhance the accuracy of macroinvertebrate biomonitoring, we study the statistical properties of the Percent Model A nity index crucial to current Finnish biomonitoring and the factors a ecting these statistics. Finally, we perform a simulation study to analyze how di erent biological indices are a ected by misclassi cations in automated identi cation of macroinvertebrates.
dc.format.extent1 verkkoaineisto (v, 30 sivua, 39 sivua useina numerointijaksoina, 7 numeroimatonta sivua)
dc.language.isoeng
dc.publisherUniversity of Jyväskylä
dc.relation.ispartofseriesReport / University of Jyväskylä. Department of Mathematics and Statistics
dc.subject.otherbiomonitorointi
dc.subject.othertieteellinen luokittelu
dc.subject.otherdimensioiden kirous
dc.subject.otheraquatic ecosysytems
dc.subject.otherbiomonitoring
dc.subject.otherclassification
dc.subject.othercurse of dimensionality
dc.subject.othererror propagation
dc.subject.otherbenthic macroinvertebrates
dc.subject.otherbiological indices
dc.titleImproving statistical classification methods and ecological status assessment for river macroinvertebrates
dc.typeDiss.fi
dc.identifier.urnURN:ISBN:978-951-39-6707-9
dc.type.dcmitypeTexten
dc.type.ontasotVäitöskirjafi
dc.type.ontasotDoctoral dissertationen
dc.contributor.tiedekuntaMatemaattis-luonnontieteellinen tiedekuntafi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.oppiaineTilastotiedefi
dc.relation.issn1457-8905
dc.relation.numberinseries156
dc.rights.accesslevelopenAccessfi
dc.subject.ysovesiekosysteemit
dc.subject.ysoekologinen tila
dc.subject.ysopohjaeläimistö
dc.subject.ysoselkärangattomat
dc.subject.ysomonitorointi
dc.subject.ysoautomaatio
dc.subject.ysolajinmääritys
dc.subject.ysotilastomenetelmät
dc.subject.ysobayesilainen menetelmä
dc.subject.ysoindeksit
dc.subject.ysovirheet
dc.subject.ysovirheanalyysi


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