Specify lmpy
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Contents:
Installation
lmpy Installation
Alternative: Install and run with a Docker Container
Tutorials
Build Shapegrid
Data Cleaning
Layer Encoder
Matrix Objects
Metacommunity Phylogenetics Analysis (MCPA)
Occurrence Filters
PAM Randomization and Null Models
PAM Statistics
Running Statistics
TreeWrapper Objects
About
References
API Reference
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Tutorials
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Tutorials
Build Shapegrid
Introduction
Build a Shapegrid
Data Cleaning
Introduction
Reading a CSV File
Reading a Darwin Core Archive File
Filtering Records
Built-in Filters
Custom Filters
Modifying Records
Built-in Modifiers
Putting It All Together
Aggregate and Clean Multiple Data Files
Layer Encoder
Introduction
Creating a PAM
Encoding Environmental Data
Encoding Biogeographic Hypotheses
Matrix Objects
Introduction
Creating Matrix Instances
From an existing NumPy ndarray
Reading a CSV file
Reading a saved Matrix
Concatenating existing Matrix objects
Slicing by array indices
Slicing by headers
Writing Matrix objects
Saving to the file system
Writing to a CSV file
Header management
On instantiation
Setting headers
Getting headers
Metadata management
On instantiation
Setting metadata
Getting metadata
Metacommunity Phylogenetics Analysis (MCPA)
Introduction
Tutorial
Occurrence Filters
Introduction
Bounding Box Filter
Disjoint Geometries Filter
Intersect Geometries Filter
Unique Localities Filter
PAM Randomization and Null Models
Introduction
Randomization algorithms
Swap
Trial Swap
Grady’s Heuristic Fill
Strona’s Curveball Method
Generating a null model
References
PAM Statistics
Introduction
Generating Default Statistics
Generate Statistics and Write to GeoJSON File
Adding New Statistics
Covariance Matrix Metrics
sigma_sites
sigma_species
Diversity Metrics
schluter_species_variance_ratio
schluter_site_variance_ratio
num_sites
num_species
whittaker
lande
legendre
c_score
Species Matrix Metrics
omega
omega_proportional
psi
psi_average_proportional
Site Matrix Metrics
alpha
alpha_proportional
phi
phi_average_proportional
PAM Distance Matrix Metrics
pearson_correlation
Tree Metrics
phylogenetic_diversity
Tree Distance Matrix Metrics
mean_nearest_taxon_distance
mean_pairwise_distance
sum_pairwise_distance
Running Statistics
Introduction
Instantiation
Tracking statistics
TreeWrapper Objects
Introduction
Creating TreeWrapper Instances
From an existing Dendropy Tree
Reading a file
Annotations
Adding node labels
Annotating tips and nodes
Annotating tree tips
Retrieving annotations
Retrieving tip labels
Getting matrices
Get distance matrix
Get distance matrix using Dendropy method
Get variance covariance matrix
Inspecting the tree
Checking for branch lengths
Checking for polytomies
Checking if a tree is binary
Checking if a tree is ultrametric
Pruning tree tips without an attribute