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dc.contributor.authorZabihi, Khodabakhsh
dc.contributor.authorHuettmann, Falk
dc.contributor.authorYoung, Brian
dc.date.accessioned2020-03-04T13:31:49Z
dc.date.available2020-03-04T13:31:49Z
dc.date.issued2020
dc.identifier.citationZabihi, K., Huettmann, F., Young, B., 2021. Predicting multi-species bark beetle (Coleoptera: Curculionidae: Scolytinae) occurrence in Alaska: open-access big GIS-data mining to provide robust inference. Biodiversity Informatics 16 (1), 1–19.en_US
dc.identifier.urihttp://hdl.handle.net/11122/10923
dc.description.abstractPredicted distribution map of bark beetles in Alaska using model 3 (model with excluded roads). The map is prepared at 1-km spatial resolution and the geographic projection is NAD 1983 Alaska Albers.en_US
dc.language.isoenen_US
dc.sourceen_US
dc.subjectAlaska, Spatial Model, Map, Machine Learning, Boosted Classification and Regression Tree, Image File, Raster, Pixel, Data, GISen_US
dc.titleModel 3 (Appendix IV)en_US
dc.typeDataseten_US
dc.description.peerreviewYesen_US
refterms.dateFOA2020-03-04T13:31:50Z


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