GeNetIt v0.1-4


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Spatial Graph-Theoretic Genetic Gravity Modelling

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.

Functions in GeNetIt

Name Description
predict.gravity Predict gravity model
rasters Subset of raster data for Columbia spotted frog (Rana luteiventris) 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 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 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
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Last month downloads


Type Package
Date 2020-03-31
License GPL-3
NeedsCompilation no
Repository CRAN
Encoding UTF-8
LazyData true
RoxygenNote 7.1.0
Packaged 2020-04-01 13:05:09 UTC; jeffrey_evans
Date/Publication 2020-04-01 13:30:03 UTC

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