Reconstruction of past human land use from pollen data and anthropogenic land cover changes

DOI10.1002/env.2743zbMATH Open1545.62897MaRDI QIDQ6626494

Behnaz Pirzamanbein, Johan Lindström

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

spatial statisticsMarkov chain Monte Carlocompositional dataGaussian Markov random fieldDirichlet and beta observationsfossil pollen record

Mathematics Subject Classification ID

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

Cites Work

• An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
• Logratio analysis and compositional distance.
• Optimal scaling for various Metropolis-Hastings algorithms.
• On Block Updating in Markov Random Field Models for Disease Mapping
• Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods
• Mapping Ancient Forests: Bayesian Inference for Spatio-Temporal Trends in Forest Composition Using the Fossil Pollen Proxy Record

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