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dc.contributor.authorMurungi, Titus M
dc.date.accessioned2013-02-26T15:10:27Z
dc.date.issued2012-12
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/11880
dc.description.abstractA major method for analyzing resource selection of species, predicting and mapping habitat suitability is by use of a geographic Information System (GIS). This research combines data relating to Prunus Africana (also known as Pygeum africanum, or African Stinkwood) in Kenya with spatially explicit environmental factors to understand the Prunus Africana resource selection and habitat preference using a logistic model as developed from the generalized linear model (GLM). Resource selection among the Prunus Africana was similar in that across all sub-regions they selected an area which has similar related factors in terms of the surrounding.......
dc.description.sponsorshipUniversity of Nairobien
dc.language.isoenen
dc.subjectSpecies distribution modelen
dc.subjectPrunus Africana Kakamega Foresten
dc.titleSpecies Distribution Model: A Case Study of Prunus Africana in Kakamega Foresten
dc.typeThesisen
local.publisherSchool of mathematicsen


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