Joint temporal point pattern models for proximate species occurrence in a fixed area using camera trap data

DOI10.1007/S13253-018-0327-8zbMath1426.62357OpenAlexW2805442802WikidataQ125922975 ScholiaQ125922975MaRDI QIDQ1618093

Erin M. Schliep, Alan E. Gelfand, James S. Clark, Roland Kays

Publication date: 13 November 2018

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

Full work available at URL: https://doi.org/10.1007/s13253-018-0327-8

zbMATH Keywords

hierarchical modelnonhomogeneous Poisson processlinear timeFourier series representationcircular timemultivariate log-Gaussian Cox process

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Related Items (1)

A two-species occupancy model with a continuous-time detection process reveals spatial and temporal interactions

Uses Software

• spBayes

Cites Work

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• Tools for statistical inference. Observed data and data augmentation methods
• Bayesian inference and model assessment for spatial point patterns using posterior predictive samples
• Estimating overlap of daily activity patterns from camera trap data
• Nonstationary multivariate process modeling through spatially varying coregionalization
• Adding Spatially-Correlated Errors Can Mess Up the Fixed Effect You Love
• Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models
• Statistical Analysis and Modelling of Spatial Point Patterns
• An Introduction to the Theory of Point Processes
• Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification

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