Spatial Regression Modeling for Compositional Data With Many Zeros

Compositional data analysis considers vectors of nonnegative-valued variables subject to a unit-sum constraint. Our interest lies in spatial compositional data, in particular, land use/land cover (LULC) data in the northeastern United States. Here, the observations are vectors providing the proporti...

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Veröffentlicht in:	Journal of agricultural, biological, and environmental statistics Jg. 18; H. 3; S. 314 - 334
Hauptverfasser:	Leininger, Thomas J., Gelfand, Alan E., Allen, Jenica M., Silander, John A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer Science+Business Media, LLC 01.09.2013 Springer US Springer
Schlagworte:	Agriculture Biostatistics habitat fragmentation Health Sciences household income land cover land use Mathematics and Statistics Medicine Monitoring/Environmental Analysis regression analysis Statistics Statistics for Life Sciences Areal data Conditionally autoregressive model Continuous ranked probability score Markov chain Monte Carlo Hierarchical modeling
ISSN:	1085-7117, 1537-2693
Online-Zugang:	Volltext
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