Using machine learning to identify nontraditional spatial dependence in occupancy data

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 spatial autocorrelation in occupancy data by using a correlated normally dist...

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Veröffentlicht in:	arXiv.org 2021-05
Hauptverfasser:	Mohankumar, Narmadha M, Hefley, Trevor J
Format:	Artikel
Sprache:	eng
Schlagworte:	Autocorrelation Contamination Dependence Machine learning Occupancy
Online-Zugang:	Volltext
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