Bayesian spatial point process modeling of~line transect data

DOI10.1007/S13253-010-0024-8zbMath1306.62316OpenAlexW2048840958MaRDI QIDQ2260164

Aki Niemi, Carmen Fernández

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-010-0024-8

zbMATH Keywords

distance samplingreversible jump MCMCspatial smoothinganimal densitysightings surveyspatial covariate

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Related Items (1)

A Bayesian hierarchical spatial point process model for multi-type neuroimaging meta-analysis

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Comment on Cowling's “Spatial Methods for Line Transect Surveys”
• Partially Collapsed Gibbs Samplers
• The Calculation of Posterior Distributions by Data Augmentation
• Poisson/gamma random field models for spatial statistics
• Non-parametric Bayesian Estimation of a Spatial Poisson Intensity
• Log Gaussian Cox Processes
• Spatial Methods for Line Transect Surveys

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