Learn R Programming

GeNetIt (version 0.1-6)

Spatial Graph-Theoretic Genetic Gravity Modelling

Description

Implementation of spatial graph-theoretic genetic gravity models. The model framework is applicable for other types of spatial flow questions. Includes functions for constructing spatial graphs, sampling and summarizing associated raster variables and building unconstrained and singly constrained gravity models.

Copy Link

Version

Install

install.packages('GeNetIt')

Monthly Downloads

207

Version

0.1-6

License

GPL-3

Issues

1

Pull Requests

0

Stars

9

Forks

2

Maintainer

Jeffrey S Evans

Last Published

June 15th, 2023

Functions in GeNetIt (0.1-6)

node.statistics

raster statistics for nodes
plot.gravity

Plot gravity model
knn.graph

Saturated or K Nearest Neighbor Graph
gravity

Gravity model
predict.gravity

Predict gravity model
summary.gravity

Summarizing Gravity Model Fits
ralu.model

Columbia spotted frog (Rana luteiventris) data for specifying gravity model. Note, the data.frame is already log transformed.
gravity.es

Effect Size
adj_matrix

Binary adjacency matrix
dps

dps genetic distance matrix for Columbia spotted frog (Rana luteiventris)
flow

Convert distance to flow
graph.statistics

Statistics for edges (lines)
compare.models

Compare gravity models
dmatrix.df

Distance matrix to data.frame
area.graph.statistics

Statistics for edges (lines) based on a defined scale (area).
graph.metrics

Graph Metrics
covariates

Subset of raster data for Columbia spotted frog (Rana luteiventris)
build.node.data

Build node data
print.gravity

Print gravity model
ralu.site

Subset of site-level spatial point data for Columbia spotted frog (Rana luteiventris)