Using machine learning to model nontraditional spatial dependence in occupancy data.
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DOI: 10.1002/ecy.3563
Abstract: Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Traditionally researchers have accounted for… read more here.
Keywords: machine learning; nontraditional spatial; spatial dependence; occupancy data ... See more keywords