this function plots a map of the beta coefficients for a selected column (aka species).
For this function to work, the coordinates supplied to gwl_fit()
must be named "Lat" and "Long".
The function is not bulletproof yet but is added here to reproduce the maps from the original publication.
Arguments
- x
a
gwlfit
object returned bygwl_fit()
.- column
the name of a variable to be plotted on the map. Must be quoted. for instance "NEB.MIN"
- crs
the crs projection for the map (default is mercator WGS84). See
sf::st_crs()
Examples
data(Amesbury)
distance_matrix <- compute_distance_matrix(Amesbury$coords[1:30,], add.noise = TRUE)
my.gwl.fit <- gwl_fit(bw= 20,
x.var = Amesbury$spe.df[1:30,],
y.var = Amesbury$WTD[1:30],
dist.mat = distance_matrix,
adaptive = TRUE,
kernel = "bisquare",
alpha = 1,
progress = TRUE)
if(requireNamespace("maps")){
plot_gwl_map(my.gwl.fit, column = "NEB.MIN")
}
#> Loading required namespace: maps