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.
|Author||Jeffrey S. Evans [aut, cre], Melanie Murphy [aut]|
|Date of publication||2016-03-10 00:27:49|
|Maintainer||Jeffrey S. Evans <firstname.lastname@example.org>|
area.graph.statistics: Statistics for edges (lines) based on a defined scale (area).
build.node.data: Build node data
dmatrix.df: Distance matrix to data.frame
dps: dps genetic distance matrix for Columbia spotted frog (Rana...
graph.statistics: Point sample and statistics for edges (lines)
gravity: Gravity model
knn.graph: Saturated or K Nearest Neighbour Graph
plot.gravity: Plot gravity model
predict.gravity: Predict gravity model
print.gravity: Print gravity model
ralu.model: Columbia spotted frog (Rana luteiventris) data for specifying...
ralu.site: Subset of site-level spatial point data for Columbia spotted...
rasters: Subset of raster data for Columbia spotted frog (Rana...
summary.gravity: Summarizing Gravity Model Fits