Skip to main navigation
Skip to search
Skip to main content
New Jersey Institute of Technology Home
Help & FAQ
Home
Profiles
Research units
Facilities
Federal Grants
Research output
Press/Media
Search by expertise, name or affiliation
Multidimensional trait morphology predicts ecology across ant lineages
Christine E. Sosiak,
Phillip Barden
Biological Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
42
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Multidimensional trait morphology predicts ecology across ant lineages'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Functional Role
100%
Dimensionality Reduction
100%
Predictive Power
100%
Principal Coordinate Analysis (PCoA)
100%
Natural History Data
100%
Ecomorph
100%
Supervised Machine Learning
50%
Between-person
50%
Machine Learning Techniques
50%
Linear Discriminant Analysis
50%
Morphological Variation
50%
Selective Pressure
50%
Random Forest
50%
Terrestrial Organisms
50%
Model-based Approach
50%
Multivariate Analysis
50%
Tripartite
50%
Phenotypic Space
50%
Leg Morphology
50%
Scapes
50%
Multiple Traits
50%
Shared Ancestry
50%
Dimension Model
50%
Ecological Aspects
50%
Body Plan
50%
Random Forest Analysis
50%
Foraging Niche
50%
Multidimensional Interaction
50%
Individual Traits
50%
Plain Language Summary
50%
Morphometric Data
50%
Nesting Microhabitat
50%
Ecomorphological Variation
50%
Ecological Classification
50%
Foraging Stratum
50%
Agricultural and Biological Sciences
Lineages
100%
Natural History
100%
Biological Sciences
50%
Selective Pressure
50%
Principal Component Analysis
50%
Multivariate Analysis
50%
Discriminant Analysis
50%
Leg
50%
Microhabitat
50%
Ancestry
50%