Spatial Interpolation of Genetic Data
Extact pairwise values from a matrix in a specified order.
Semi-variogram with the genetic distance matrix
Geographical distance matrix for samples and interpolation locations.
Simple plot of interpolated grid.
Fit a model to the semi-variogram.
Inverse Distance Weighting interpolation
Interpolation of genetic distances to a a grid of points.
Simple and ordinary kriging.
Midpoints between pairs of coordinates
Generalized inverse of a matrix
Tests if a 'gv' object has a model.
Summarizes data from multiple species.
Phylogenetic Landscape Interpolation.
Plot a 'gv' object
Predict method for 'gen.variogram' object with model.
Prints details of a 'gv' object
Simulated environments.
Simulated genetic distances.
Random samples from simulation.
Summary for 'gv' object
The spatial interpolation of genetic distances between samples is based on a modified kriging method that accepts a genetic distance matrix and generates a map of probability of lineage presence. This package also offers tools to generate a map of potential contact zones between groups with user-defined thresholds in the tree to account for old and recent divergence. Additionally, it has functions for IDW interpolation using genetic data and midpoints.