Variance propagation for density surface models

• Published in: Journal of Agricultural, Biological and Environmental Statistics
• Main Authors: Bravington, Mark V., Miller, David Lawrence, Hedley, Sharon Louise
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2021
• Subjects: Abundance estimation; Distance sampling; Generalized additive models; Line transect sampling; Point transect sampling; Spatial modelling; Gam; Harbour porpoise
• Online Access: https://research-portal.st-andrews.ac.uk/en/researchoutput/variance-propagation-for-density-surface-models(b2dab681-8595-473f-821a-0f798448b04d).html; https://doi.org/10.1007/s13253-021-00438-2; https://research-repository.st-andrews.ac.uk/bitstream/10023/21564/1/Bravington_2021_JABES_Variance_CC.pdf

Spatially explicit estimates of population density, together with appropriate estimates of uncertainty, are required in many management contexts. Density surface models (DSMs) are a two-stage approach for estimating spatially varying density from distance sampling data. First, detection probabilitie...