A latent discrete Markov random field approach to identifying and classifying historical forest communities based on spatial multivariate tree species counts
DOI10.1214/19-AOAS1259zbMath1435.62411OpenAlexW2990633182MaRDI QIDQ2291519
David J. Mladenoff, Murray K. Clayton, Monika E. Shea, Stephen Berg, Jun Zhu
Publication date: 31 January 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.aoas/1574910046
Directional data; spatial statistics (62H11) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to environmental and related topics (62P12) Markov processes: estimation; hidden Markov models (62M05)
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