Description Usage Arguments Value Examples
Using the result obtained by the evaluation of the functions sKDE() or sKDE_without_c(), the function plot_sKDE() creates a visualization of the kernel density estimates.
1 2 3 4 |
smooth |
result from sKDE() or sKDE_without_c(); |
breaks |
breaks for the legend (seq(min(smooth$Z)*.95,max(smooth$Z)*1.05,length=21) by default); |
polygon |
polygon on which data points lie; |
coord |
coordinates (long, lat) of data points; |
alpha_coords |
transparency for data points (.8 by default); |
size_coords |
size for data points (.8 by default); |
many_points |
if TRUE, @coord must be the result of condense() (package bigvis). It is helpful when there are too many points to display (FALSE by default); |
colContour |
colour of the contour of the polygon ("white" by default); |
colPoints |
colour of the data points ("dodger blue" by default); |
title |
title (if provided) to give to the plot; |
contour |
if FALSE, contour are not plotted (TRUE by default); |
round |
round value for the legend (2 by default); |
text_size |
text size (22 by default). |
a ggplot2 plot.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | data(acci)
# Estimation with correction
smoothed_fin <- sKDE(U = acci$finistere$points, polygon = acci$finistere$polygon,
optimal=TRUE, parallel = FALSE)
# Estimation without correction
smoothed_fin_nc <- sKDE_without_c(U = acci$finistere$points, polygon = acci$finistere$polygon,
optimal=TRUE)
p_acci_fin <- plot_sKDE(smooth = smoothed_fin,
coord = acci$finistere$points,
alpha_coords = .8,
size_coords = 1,
breaks = seq(min(smoothed_fin$ZNA, smoothed_fin_nc$ZNA,na.rm=TRUE)*.95,
max(smoothed_fin$ZNA, smoothed_fin_nc$ZNA,na.rm=TRUE)*1.05, length=21),
polygon = acci$finistere$polygon, round = 3, colContour = "black") +
ggtitle("With correction") +
coord_equal()
print(p_acci_fin)
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