Identification of observed factors that predict bather water-immersions at beaches

Damian Joseph Morgan; Joan Ozanne-Smith

doi:10.1016/j.ocecoaman.2013.08.006

Identification of observed factors that predict bather water-immersions at beaches

Damian Joseph Morgan
, Joan Ozanne-Smith

Department of Forensic Medicine

Research output: Contribution to journal › Article › Research › peer-review

4 Citations (Scopus)

Abstract

Coastal managers require accurate and relevant visitor information to manage visitor s leisure and recreation experiences. The study reports the development of a predictive model of bather water-immersions at selected beaches in Victoria, Australia for the daily peak-bathing period. Criterion variable data were collected over two summer periods to provide external validation. Predictor variables were observed on site or from secondary data. Results showed a statistically significant model meeting the required assumptions: Adjusted R2=0.65: F2, 292=270.50, p

Original language	English
Pages (from-to)	180 - 183
Number of pages	4
Journal	Ocean and Coastal Management
Volume	84
DOIs	https://doi.org/10.1016/j.ocecoaman.2013.08.006
Publication status	Published - 2013

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10.1016/j.ocecoaman.2013.08.006

Cite this

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title = "Identification of observed factors that predict bather water-immersions at beaches",

abstract = "Coastal managers require accurate and relevant visitor information to manage visitor s leisure and recreation experiences. The study reports the development of a predictive model of bather water-immersions at selected beaches in Victoria, Australia for the daily peak-bathing period. Criterion variable data were collected over two summer periods to provide external validation. Predictor variables were observed on site or from secondary data. Results showed a statistically significant model meeting the required assumptions: Adjusted R2=0.65: F2, 292=270.50, p",

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AU - Morgan, Damian Joseph

AU - Ozanne-Smith, Joan

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N2 - Coastal managers require accurate and relevant visitor information to manage visitor s leisure and recreation experiences. The study reports the development of a predictive model of bather water-immersions at selected beaches in Victoria, Australia for the daily peak-bathing period. Criterion variable data were collected over two summer periods to provide external validation. Predictor variables were observed on site or from secondary data. Results showed a statistically significant model meeting the required assumptions: Adjusted R2=0.65: F2, 292=270.50, p

AB - Coastal managers require accurate and relevant visitor information to manage visitor s leisure and recreation experiences. The study reports the development of a predictive model of bather water-immersions at selected beaches in Victoria, Australia for the daily peak-bathing period. Criterion variable data were collected over two summer periods to provide external validation. Predictor variables were observed on site or from secondary data. Results showed a statistically significant model meeting the required assumptions: Adjusted R2=0.65: F2, 292=270.50, p

UR - http://www.sciencedirect.com/science/article/pii/S0964569113001865

U2 - 10.1016/j.ocecoaman.2013.08.006

DO - 10.1016/j.ocecoaman.2013.08.006

M3 - Article

SN - 0964-5691

VL - 84

SP - 180

EP - 183

JO - Ocean and Coastal Management

JF - Ocean and Coastal Management

ER -

Identification of observed factors that predict bather water-immersions at beaches

Abstract

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