Modeling partially surveyed point process data: inferring spatial point intensity of geomagnetic anomalies

DOI10.1007/s13253-020-00387-2OpenAlexW3010776819MaRDI QIDQ2209858

John J. Borkowski, Andrew Hoegh, Kenneth A. Flagg

Publication date: 5 November 2020

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

Full work available at URL: https://scholarworks.montana.edu/xmlui/handle/1/16436

zbMATH Keywords

Bayesian statisticsDirichlet processspatial point processunexploded ordnance

Mathematics Subject Classification ID

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

Related Items

The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models

Uses Software

• R
• spatstat
• Armadillo
• RcppArmadillo
• pyuvdata

Cites Work

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