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GeNetIt (version 0.1-4)

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.

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Install

install.packages('GeNetIt')

Monthly Downloads

232

Version

0.1-4

License

GPL-3

Issues

1

Pull Requests

0

Stars

10

Forks

2

Maintainer

Jeffrey S Evans

Last Published

April 1st, 2020

Functions in GeNetIt (0.1-4)

predict.gravity

Predict gravity model
rasters

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

Build node data
ralu.model

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

Summarizing Gravity Model Fits
ralu.site

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

raster statistics for nodes
print.gravity

Print gravity model
plot.gravity

Plot gravity model
gravity.es

Effect Size
compare.models

Compare gravity models
gravity

Gravity model
dps

dps genetic distance matrix for Columbia spotted frog (Rana luteiventris)
area.graph.statistics

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

Point sample and statistics for edges (lines)
knn.graph

Saturated or K Nearest Neighbor Graph
dmatrix.df

Distance matrix to data.frame
flow

Convert distance to flow