Predicting the Geographic Distribution of a Species from Presence‐Only Data Subject to Detection Errors

Several models have been developed to predict the geographic distribution of a species by combining measurements of covariates of occurrence at locations where the species is known to be present with measurements of the same covariates at other locations where species occurrence status (presence or...

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Bibliographic Details
Published in:	Biometrics Vol. 68; no. 4; pp. 1303 - 1312
Main Author:	Dorazio, Robert M.
Format:	Journal Article
Language:	English
Published:	Malden, USA Blackwell Publishing Inc 01.12.2012 Wiley-Blackwell Blackwell Publishing Ltd
Subjects:	Algorithms Applied ecology Biodiversity biogeography BIOMETRIC PRACTICE Biometrics biometry birds Case-augmented design Case-control design Censuses data collection Data Interpretation, Statistical Demography - statistics & numerical data Ecological modeling Geographic regions geographical distribution Idaho Modeling Montana Parametric models Perceptual localization Pixels Population genetics prediction probability Regression analysis Sample Size Site-occupancy model Spatial models Spatial point process Species Species distribution model surveys Use-availability design Montana Idaho
ISSN:	0006-341X, 1541-0420, 1541-0420
Online Access:	Get full text
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