TY - JOUR
T1 - Identification of observed factors that predict bather water-immersions at beaches
AU - Morgan, Damian Joseph
AU - Ozanne-Smith, Joan
PY - 2013
Y1 - 2013
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 -