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Hierarchical Ordination, A unifying framework for drivers of community processes

https://doi.org/10.1101/2024.01.08.574701
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ecy.2754openalex-snapshot
Joint species distribution models with species correlations and imperfect detection
inferredcites →https://doi.org/10.1002/ecy.2929openalex-snapshot
Computationally efficient joint species distribution modeling of big spatial data
inferredcites →https://doi.org/10.1002/ecy.3336openalex-snapshot
A practical guide to selecting models for exploration, inference, and prediction in ecology
inferredcites →https://doi.org/10.1002/env.2683openalex-snapshot
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models
inferredcites →https://doi.org/10.1007/s10651-017-0395-xopenalex-snapshot
Algorithms and biplots for double constrained correspondence analysis
inferredcites →https://doi.org/10.1016/j.tree.2015.09.007openalex-snapshot
So Many Variables: Joint Modeling in Community Ecology
inferredcites →https://doi.org/10.1016/j.tree.2016.07.009openalex-snapshot
Incorporating Imperfect Detection into Joint Models of Communities: A response to Warton et al.
inferredcites →https://doi.org/10.1080/10618600.2016.1172487openalex-snapshot
Programming With Models: Writing Statistical Algorithms for General Model Structures With NIMBLE
inferredcites →https://doi.org/10.1093/biomet/53.3-4.325openalex-snapshot
Some Distance Properties of Latent Root and Vector Methods Used in Multivariate Analysis
inferredcites →https://doi.org/10.1093/biomet/58.3.453openalex-snapshot
The Biplot Graphic Display of Matrices with Application to Principal Component Analysis
inferredcites →https://doi.org/10.1098/rspb.2017.0768openalex-snapshot
How are species interactions structured in species-rich communities? A new method for analysing time-series data
inferredcites →https://doi.org/10.1101/137885openalex-snapshot
The dynamic core microbiome: Structure, dynamics and stability
inferredcites →https://doi.org/10.1111/2041-210x.12180openalex-snapshot
Understanding co‐occurrence by modelling species simultaneously with a Joint Species Distribution Model ( JSDM )
inferredcites →https://doi.org/10.1111/2041-210x.12236openalex-snapshot
Model‐based approaches to unconstrained ordination
inferredcites →https://doi.org/10.1111/2041-210x.12359openalex-snapshot
Spatial factor analysis: a new tool for estimating joint species distributions and correlations in species range
inferredcites →https://doi.org/10.1111/2041-210x.12723openalex-snapshot
Using joint species distribution models for evaluating how species‐to‐species associations depend on the environmental context
inferredcites →https://doi.org/10.1111/2041-210x.13303openalex-snapshot
gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r
inferredcites →https://doi.org/10.1111/2041-210x.13518openalex-snapshot
Defining and evaluating predictions of joint species distribution models
inferredcites →https://doi.org/10.1111/2041-210x.13595openalex-snapshot
Model‐based ordination for species with unequal niche widths
inferredcites →https://doi.org/10.1111/2041-210x.14035openalex-snapshot
Concurrent ordination: Simultaneous unconstrained and constrained latent variable modelling
inferredcites →https://doi.org/10.1111/ele.12757openalex-snapshot
How to make more out of community data? A conceptual framework and its implementation as models and software
inferredcites →https://doi.org/10.1111/gcb.15888openalex-snapshot
Modelling temperature‐driven changes in species associations across freshwater communities
inferredcites →https://doi.org/10.1111/j.1365-2656.2010.01743.xopenalex-snapshot
A multispecies perspective on ecological impacts of climatic forcing
inferredcites →https://doi.org/10.1111/j.1365-2699.2011.02663.xopenalex-snapshot
Towards novel approaches to modelling biotic interactions in multispecies assemblages at large spatial extents
inferredcites →https://doi.org/10.1111/j.1469-185x.2012.00235.xopenalex-snapshot
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
inferredcites →https://doi.org/10.1111/mec.14718openalex-snapshot
Uncovering the drivers of host‐associated microbiota with joint species distribution modelling
inferredcites →https://doi.org/10.1201/9780203489437openalex-snapshot
Generalized Latent Variable Modeling
inferredcites →https://doi.org/10.1214/09-ba403openalex-snapshot
A review of Bayesian variable selection methods: what, how and which
inferredcites →https://doi.org/10.1890/13-1015.1openalex-snapshot
More than the sum of the parts: forest climate response from joint species distribution models
inferredcites →https://doi.org/10.2307/1938672openalex-snapshot
Canonical Correspondence Analysis: A New Eigenvector Technique for Multivariate Direct Gradient Analysis
inferredcites →https://doi.org/10.2307/1942268openalex-snapshot
An Ordination of the Upland Forest Communities of Southern Wisconsin
inferredcites →https://doi.org/10.2307/2530959openalex-snapshot
Correspondence Analysis of Incidence and Abundance Data: Properties in Terms of a Unimodal Response Model
inferredcites →https://doi.org/10.7717/peerj.95openalex-snapshot
Generalized linear mixed models can detect unimodal species-environment relationships

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1111/2041-210x.70284openalex-snapshot
Data reconciliation in multi‐trait experiments with kinship ordination
inferred← citeshttps://doi.org/10.1214/25-aoas2078openalex-snapshot
B-BIND: Biophysical Bayesian inference for neurodegenerative dynamics
inferred← citeshttps://doi.org/10.7717/peerj.20338openalex-snapshot
gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models
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