GeNetIt R package for spatial graph-theoretic gravity modelling with 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.
area.graph.statistics - Depreciated, please use graph.statistics with buffer argument
build.node.data - Build node data
compare.models - Compare competing hypothesis (models)
dmatrix.df - Distance matrix to data.frame
dps - dps genetic distance matrix for Columbia spotted frog (Rana luteiventris)
flow - Convert distance matrix to flow (1-d)
graph.statistics - Raster statistics for edges (lines)
gravity.es - Effect size for a gravity model
gravity - Gravity model
knn.graph - Saturated or K Nearest Neighbor Graph
node.statistics - Raster statistics for nodes (points)
plot.gravity - Generic plot function for a gravity model object
predict.gravity - Predict gravity model
print.gravity - Print gravity model
ralu.model - Columbia spotted frog (Rana luteiventris) data for specifying gravity model.
Note, the data.frame is already log transformed.
ralu.site - Subset of site-level spatial point data for Columbia spotted frog (Rana luteiventris)
rasters - Subset of raster data for Columbia spotted frog (Rana luteiventris)
summary.gravity - generic summary function for gravity model objects
Bugs: Users are encouraged to report bugs here. Go to issues in the menu above, and press new issue to start a new bug report, documentation correction or feature request. You can direct questions to [email protected].
To install GeNetIt in R use install.packages() to download curent stable release from CRAN
or, for the development version, run the following (requires the remotes package):
remotes::install_github("jeffreyevans/GeNetIt")