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IGRF values can be calculated for a single point using the below call. This will generate a data frame with model values. The routine is relatively fast so looping over a time vector will generate time series fairly quickly. To calculate grids a simple function is provided (see below).
You may generate global maps of the IGRF using the
igrf_grid()
function, setting similar parameters as above
while specifying a resolution as decimal degrees of the global grid.
Keep in mind that values under 1 (fractions) will take an increasing
amount of time and space to store the data.
grid <- igrf::igrf_grid(
field = "main",
year = 2000,
altitude = 2,
resolution = 5
)
print(head(grid))
#> lon lat X Y Z F D H I
#> 1 -180 -90 -14558.63 7793.387 -53321.91 55820.39 151.8394 16513.34 -72.79269
#> 2 -175 -90 -13823.99 9032.599 -53321.91 55820.39 146.8394 16513.34 -72.79269
#> 3 -170 -90 -12984.14 10203.067 -53321.91 55820.39 141.8394 16513.34 -72.79269
#> 4 -165 -90 -12045.48 11295.884 -53321.91 55820.39 136.8394 16513.34 -72.79269
#> 5 -160 -90 -11015.14 12302.732 -53321.91 55820.39 131.8394 16513.34 -72.79269
#> 6 -155 -90 -9900.97 13215.949 -53321.91 55820.39 126.8394 16513.34 -72.79269
library(ggplot2)
library(metR)
library(rnaturalearth)
coast <- ne_coastline(returnclass = "sf")
ggplot(grid) +
geom_contour_fill(
aes(
lon,
lat,
z = D
),
breaks = MakeBreaks(10)
) +
geom_sf(
data = coast
) +
scale_fill_divergent(
name = "declination"
) +
labs(
x = "",
y = "",
title = "IGRF magnetic declination"
) +
theme_bw() +
theme(
plot.background = element_rect(fill = "#ffffff", color = NA),
panel.background = element_rect(fill = "#ffffff", color = NA)
)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.