Binary Map (Figure 6)

dc.contributor.author	Zabihi, Khodabakhsh
dc.contributor.author	Huettmann, Falk
dc.contributor.author	Young, Brian
dc.date.accessioned	2020-03-04T14:06:04Z
dc.date.available	2020-03-04T14:06:04Z
dc.date.issued	2020
dc.identifier.citation	Zabihi, 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.uri	http://hdl.handle.net/11122/10924
dc.description.abstract	Classified prediction map of multi-species bark beetle occurrence using 95% confidence interval of assessment/test points to differentiate predicted index of relative occurrence (RIO) of the ecological model. Value 1 (presence) represents the favorable habitats and value 0 (absence) represents regions that may not be occupied by scolytines community based on the current climatic conditions and biophysical attributes of the landscape. The map is prepared at 1-km spatial resolution and the geographic projection is NAD 1983 Alaska Albers.	en_US
dc.language.iso	en	en_US
dc.source		en_US
dc.subject	Alaska, Spatial Model, Map, Machine Learning, Boosted Classification and Regression Tree, Image File, Raster, Pixel, Data, GIS	en_US
dc.title	Binary Map (Figure 6)	en_US
dc.type	Dataset	en_US
dc.description.peerreview	Yes	en_US
refterms.dateFOA	2020-03-04T14:06:05Z

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Alaska Predicted Distribution ...