How zhangchunyu-biogeo/angiosperm-biogeographical-spectrum works
This repository contains R analyses and supporting datasets for studying global biogeographical patterns in angiosperm taxonomic traits. The documented workflow is to prepare species-level occurrences and trait proportions for ecoregions, then run individual scripts for statistical analyses and mapping, producing figures and processed data. The README also documents phylogenetic, evolutionary, diversity-null-model, and spatial-SEM analyses. Source excerpts were unavailable, so relationships beyond the documented workflow are omitted; several analysis nodes use the existing Code directory because individual script paths are not shown in the supplied tree.
Main entry points: Code Occurrence aggregation · Data Ecoregion data · Flora_Evolution_Models Evolution model data · Taxonomic_Traits_Diversity_Null_Model Null model data
Components 17
Data preparation
Statistical analyses
- R analysis scripts
Code - PCA and visualization
Code - Phylogenetic models
Code - Signal and conservation
Code - Evolutionary models
Code - Beta regression
Code
Spatial and diversity
- Diversity null models
Code - GAM mapping
Code - Spatial piecewise SEM
Code
Research data
- Trait datasets
Data - Occurrence demo data
Data - Ecoregion data
Data - Evolution model data
Data/Flora_Evolution_Models - Null model data
Data/Taxonomic_Traits_Diversity_Null_Model
Other components
- Researcher
- Figures and CSVs
Connections 23
- Researcher → Occurrence aggregation: runs
- Occurrence aggregation → Occurrence demo data: reads
- Occurrence aggregation → Trait datasets: reads
- Occurrence aggregation → Ecoregion data: writes
- Researcher → PCA and visualization: runs
- Researcher → Phylogenetic models: runs
- Researcher → Signal and conservation: runs
- Researcher → Evolutionary models: runs
- Researcher → Beta regression: runs
- Researcher → Diversity null models: runs
- Researcher → GAM mapping: runs
- Researcher → Spatial piecewise SEM: runs
- PCA and visualization → Ecoregion data: reads
- Diversity null models → Null model data: reads
- Evolutionary models → Evolution model data: reads
- PCA and visualization → Figures and CSVs: writes
- Phylogenetic models → Figures and CSVs: writes
- Signal and conservation → Figures and CSVs: writes
- Evolutionary models → Figures and CSVs: writes
- Beta regression → Figures and CSVs: writes
- Diversity null models → Figures and CSVs: writes
- GAM mapping → Figures and CSVs: writes
- Spatial piecewise SEM → Figures and CSVs: writes