LMdist: Local Manifold distance accurately measures beta diversity in ecological gradients.

ABSTRACT:

Motivation

Differentiating ecosystems poses a complex, high-dimensional problem constrained by capturing relevant variation across species profiles. Researchers use pairwise distances and subsequent dimensionality reduction to highlight variation in a few dimensions. Despite popularity in analysis of ecological data, these low-dimensional visualizations can contain geometric abnormalities such as "arch" and "horseshoe" effects, potentially obscuring the impact of environmental gradients. These abnormalities appear in ordination but are in fact a product of oversaturated large pairwise distances.

Results

We present Local Manifold distance (LMdist), an unsupervised algorithm which adjusts pairwise beta diversity measures to better represent true ecological distances between sa

SUBMITTER: Hoops SL 

PROVIDER: S-EPMC10713119 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature