Code and data for Bayesian joint species distribution model selection for community-level prediction
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https://datadryad.org/dataset/doi:10.5061/dryad.tmpg4f53g
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资源简介:
Code and data for reproducing the analysis in the manuscript “Bayesian
joint species distribution model selection for community-level
prediction.” Provided data include percent cover observations
for 39 modeled vascular plant species within boreal forest understory
communities and environmental model covariates. R code is provided to
generate model inputs, apply alternative models, generate out-of-sample
predictions, and calculate associated community and species log scores and
alternative model evaluation metrics. Further, R source code is provided
to implement the multinomial joint species distribution model defined in
the manuscript. Details on the data, its processing, and the alternative
model definitions and structure can be found in the main text of the
manuscript. Provided data are currently being used in ongoing
analyses and coordination with authors may be warranted to avoid duplicate
publication. Potential users are encouraged to consider collaboration with
authors when useful and appropriate. Misinterpretation of data may occur
if used outside the context of the original analysis. All data are made
available in their current state. While significant efforts have been made
to ensure data accuracy, complete accuracy cannot be guaranteed. Data may
be updated periodically. It is the responsibility of the data user to
check for updated versions of the data.
提供机构:
Dryad
创建时间:
2023-11-24



