Final Map (Figure 7)

dc.contributor.author	Zabihi, Khodabakhsh
dc.contributor.author	Huettmann, Falk
dc.contributor.author	Young, Brian
dc.date.accessioned	2020-03-04T14:17:47Z
dc.date.available	2020-03-04T14:17:47Z
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/11122/10925
dc.description.abstract	Classified prediction map of multi-species bark beetle occurrences in different forest types: Mixed and evergreen forests that predicted not to favor bark beetle occurrences (value 0), mixed forests that expected to favor bark beetle occurrences (value 1), and evergreen forests that predicted to be occupied by different bark beetle species (value 2). The 2011 NLCD was the reference map to extract forest type and area across the state of Alaska. 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	Final Map (Figure 7)	en_US
dc.type	Dataset	en_US
dc.description.peerreview	Yes	en_US
refterms.dateFOA	2020-03-04T14:17:47Z

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Alaska Predicted Distribution ...