### Geomakie.jl GMT Examples

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/examples.md

Presents an example inspired by the Generic Mapping Tools (GMT), specifically the Antioquia region visualization.

```julia
using Geomakie

# Example: Antioquia
# makie(antioquia)
```

--------------------------------

### Install GeoMakie.jl

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Installs the GeoMakie.jl package from the Julia REPL.

```julia
]
add GeoMakie
```

--------------------------------

### Install GeoMakie

Source: https://github.com/makieorg/geomakie.jl/blob/master/README.md

Instructions for installing the GeoMakie package using the Julia package manager.

```julia
]
add GeoMakie

```

--------------------------------

### Geomakie.jl Cartopy Examples

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/examples.md

Illustrates examples inspired by Cartopy, including annotations, arrows, and streamplots, showcasing geographical data visualization techniques.

```julia
using Geomakie

# Example: Annotation
# makie(annotation)

# Example: Arrows
# makie(arrows)

# Example: Katrina
# makie(katrina)

# Example: Streamplot
# makie(streamplot)
```

--------------------------------

### Card Metadata Block

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/adding_demos.md

This Julia code block demonstrates how to define metadata for an example using the `@cardmeta` Documenter.jl block. It specifies the cover image, a description, and an optional title for the example card. This metadata is crucial for generating the example gallery.

```julia
#=
```@cardmeta
Cover = fig
Description = "A very short description of the example"
Title = "Some title, optional"
```
=#
```

--------------------------------

### GeoMakie Quick Start

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/index.md

Demonstrates the basic usage of GeoMakie.jl, including creating a `GeoAxis`, plotting coastlines, and scattering data points with automatic CRS transformation.

```julia
using CairoMakie, GeoMakie

fig = Figure()
ga = GeoAxis(
    fig[1, 1]; # any cell of the figure's layout
    dest = "+proj=wintri", # the CRS in which you want to plot
)
lines!(ga, GeoMakie.coastlines()) # plot coastlines from Natural Earth as a reference
# You can plot your data the same way you would in Makie
scatter!(ga, -120:15:120, -60:7.5:60; color = -60:7.5:60, strokecolor = (:black, 0.2))
fig
```

--------------------------------

### Setup for Nonlinear Transformations

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Imports necessary libraries (Makie, GeoMakie, FileIO) for working with nonlinear transformations and plotting.

```julia
using Makie, GeoMakie
using Makie.FileIO
```

--------------------------------

### Geomakie.jl Basic Examples

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/examples.md

Showcases fundamental functionalities of Geomakie.jl, including Italy, field and countries, rotating earth, histogram, contours, rasters, multiple CRS, and basic overview gallery.

```julia
using Geomakie

# Example: Basic overview gallery
# This would typically involve plotting some geographical data.
# For instance, plotting a map of Italy:
# makie(Italy)

# Example: Field and Countries
# makie(field_and_countries)

# Example: Rotating Earth
# makie(rotating_earth)

# Example: Histogram
# makie(histogram)

# Example: Contours
# makie(contours)

# Example: Rasters
# makie(rasters)

# Example: Multiple CRS
# makie(multiple_crs)
```

--------------------------------

### Map Projection Example (Wintri)

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Shows how to change the map projection used by GeoAxis. This example sets the destination projection to 'wintri' for a different map visualization.

```julia
using GeoMakie, CairoMakie

lons = -180:180
lats = -90:90
field = [exp(cosd(l)) + 3(y/90) for l in lons, y in lats]

fig = Figure()
ax = GeoAxis(fig[1,1]; dest = "+proj=wintri")
surface!(ax, lons, lats, field; shading = NoShading)
fig
```

--------------------------------

### Geomakie.jl Advanced Functionality Examples

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/examples.md

Demonstrates advanced features of Geomakie.jl, such as axis configuration, world population visualization, graph plotting on USA, orthographic projections, geostationary images, plane detection, German lakes, mesh images, Tissot's indicatrices, and HEALPix maps.

```julia
using Geomakie

# Example: Axis Configuration
# makie(axis_config)

# Example: World Population
# makie(world_population)

# Example: Graph on USA
# makie(graph_on_usa)

# Example: Orthographic Projection
# makie(orthographic)

# Example: Geostationary Image
# makie(geostationary_image)

# Example: Is it a plane?
# makie(is_it_a_plane)

# Example: German Lakes
# makie(german_lakes)

# Example: Mesh Image
# makie(meshimage)

# Example: Projections
# makie(projections)

# Example: Tissot's Indicatrices
# makie(tissot)

# Example: HEALPix
# makie(healpix)
```

--------------------------------

### Surface Plot Example

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Demonstrates creating a surface plot with GeoMakie.jl using sample latitude, longitude, and field data. It utilizes GeoAxis for geospatial plotting and CairoMakie for rendering.

```julia
using GeoMakie, CairoMakie

lons = -180:180
lats = -90:90
field = [exp(cosd(l)) + 3(y/90) for l in lons, y in lats]

fig = Figure()
ax = GeoAxis(fig[1,1])
surface!(ax, lons, lats, field; shading = NoShading)
fig
```

--------------------------------

### Affine Transformation Example

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Demonstrates an affine transformation using `meshimage` with Makie's logo. Affine transformations are linear combinations of translation, scale, and rotation.

```julia
meshimage(Makie.logo())
```

--------------------------------

### Check GeoMakie Version

Source: https://github.com/makieorg/geomakie.jl/blob/master/README.md

How to check the installed version of the GeoMakie package in the Julia REPL.

```julia
julia> ]
pkg> status GeoMakie

```

--------------------------------

### Diverse GeoMakie Plotting Examples

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/index.md

Showcases various GeoMakie plotting capabilities, including orthographic and Mollweide projections, plotting images of Earth, polygons, and automatic limit adjustments.

```julia
using GeoMakie, CairoMakie

fieldlons = -180:180; fieldlats = -90:90
field = [exp(cosd(lon)) + 3(lat/90) for lon in fieldlons, lat in fieldlats]

img = rotr90(GeoMakie.earth())
land = GeoMakie.land()

fig = Figure(size = (1000, 1000))

ga1 = GeoAxis(fig[1, 1]; dest = "+proj=ortho", title = "Orthographic\n "); lines!(ga1, GeoMakie.coastlines())
ga2 = GeoAxis(fig[1, 2]; dest = "+proj=moll", title = "Image of Earth\n ")
ga3 = GeoAxis(fig[2, 1]; title = "Plotting polygons")
ga4 = GeoAxis(fig[2, 2]; dest = "+proj=natearth", title = "Auto limits") # you can plot geodata on regular axes too

surface!(ga1, fieldlons, fieldlats, field; colormap = :rainbow_bgyrm_35_85_c69_n256, shading = NoShading)
image!(ga2, -180..180, -90..90, img; interpolate = false) # this must be included
poly!(ga3, land[50:100]; color = 1:51, colormap = (:plasma, 0.5))
poly!(ga4, land[22]);

ylims!(ga3, (-90, 90)) # you can manipulate the axes as usual for Makie!

fig
```

--------------------------------

### Scatter Plot Example

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Illustrates how to create a scatter plot with GeoMakie.jl. It generates random longitude and latitude points, associates them with a field value, and plots them using GeoAxis.

```julia
using GeoMakie, CairoMakie

lons = -180:180
lats = -90:90
slons = rand(lons, 2000)
slats = rand(lats, 2000)
sfield = [exp(cosd(l)) + 3(y/90) for (l,y) in zip(slons, slats)]

fig = Figure()
ax = GeoAxis(fig[1,1])
scatter!(slons, slats; color = sfield)
fig
```

--------------------------------

### Multiple GeoAxis Examples with Different Projections

Source: https://github.com/makieorg/geomakie.jl/blob/master/README.md

Showcases the use of GeoAxis with various projections like Orthographic, Mollweide, and Natural Earth, plotting different geographic data including images and polygons.

```julia
fieldlons = -180:180; fieldlats = -90:90
field = [exp(cosd(lon)) + 3(lat/90) for lon in fieldlons, lat in fieldlats]

img = rotr90(GeoMakie.earth())
land = GeoMakie.land()

fig = Figure(size = (1000, 1000))

ga1 = GeoAxis(fig[1, 1]; dest = "+proj=ortho", title = "Orthographic\n ")
ga2 = GeoAxis(fig[1, 2]; dest = "+proj=moll", title = "Image of Earth\n ")
ga3 = GeoAxis(fig[2, 1]; title = "Plotting polygons")
ga4 = GeoAxis(fig[2, 2]; dest = "+proj=natearth", title = "Auto limits") # you can plot geodata on regular axes too

surface!(ga1, fieldlons, fieldlats, field; colormap = :rainbow_bgyrm_35_85_c69_n256, shading = NoShading)
lines!(ga1, GeoMakie.coastlines())

image!(ga2, -180..180, -90..90, img; interpolate = false) # this must be included
poly!(ga3, land[50:100]; color = 1:51, colormap = (:plasma, 0.5))
poly!(ga4, land[22]);

fig

```

--------------------------------

### Separable Nonlinear Transformation Example

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Illustrates a nonlinear but separable transformation using `meshimage` with logarithmic scales on both axes. In these transformations, each coordinate depends only on its corresponding input coordinate.

```julia
meshimage(
    1..size(Makie.logo(), 2), 1..size(Makie.logo(), 1),
    Makie.logo();
    axis = (; xscale = log, yscale = log10)
)
```

--------------------------------

### Plotting Countries with GeoJSON

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

This example demonstrates plotting country boundaries using data from NaturalEarth.jl. It first creates a surface plot and then overlays country polygons with specific styling.

```julia
using GeoMakie, CairoMakie
using NaturalEarth

# First, make a surface plot
lons = -180:180
lats = -90:90
field = [exp(cosd(l)) + 3(y/90) for l in lons, y in lats]

fig = Figure()
ax = GeoAxis(fig[1,1])
sf = surface!(ax, lons, lats, field; shading = NoShading)
cb1 = Colorbar(fig[1,2], sf; label = "field", height = Relative(0.65))

countries = naturalearth("admin_0_countries", 110)

n = length(countries)
hm = poly!(ax, GeoMakie.to_multipoly(countries.geometry); color= 1:n, colormap = :dense,
    strokecolor = :black, strokewidth = 0.5,
)
translate!(hm, 0, 0, 100) # move above surface plot

fig
```

--------------------------------

### Inseparable Nonlinear Transformation Example (Geographic Projection)

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Shows an inseparable nonlinear transformation using `meshimage` with a geographic projection (`+proj=igh`). In these transformations, coordinates in the transformed space depend on multiple input coordinates.

```julia
meshimage(
    -180..180,
    -90..90,
    Makie.logo();
    axis = (; type = GeoAxis, dest = "+proj=igh")
)
```

--------------------------------

### GeoAxis with Orthographic Projection and Coastlines

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Creates a GeoAxis with an orthographic projection and plots coastlines. This example highlights potential issues with bounding boxes in transformed spaces due to coordinate singularities.

```julia
# TODO: is failing now
fig = Figure()
ga = GeoAxis(fig[1, 1]; dest = "+proj=ortho +lon_0=19 +lat_0=50")
lines!(ga, GeoMakie.coastlines())
fig
```

--------------------------------

### Basic GeoAxis Usage with Coastlines and Scatter Plot

Source: https://github.com/makieorg/geomakie.jl/blob/master/README.md

Demonstrates the creation of a GeoAxis, plotting coastlines, and adding a scatter plot with automatic coordinate transformation.

```julia
fig = Figure()
ga = GeoAxis(
    fig[1, 1]; # any cell of the figure's layout
    dest = "+proj=wintri", # the CRS in which you want to plot
)
lines!(ga, GeoMakie.coastlines()) # plot coastlines from Natural Earth as a reference
# You can plot your data the same way you would in Makie
scatter!(ga, -120:15:120, -60:7.5:60; color = -60:7.5:60, strokecolor = (:black, 0.2))
fig

```

--------------------------------

### Geomakie API Reference

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Lists the core functions available in the Geomakie package for geospatial plotting and data manipulation.

```APIDOC
GeoMakie.to_multipoly
GeoMakie.geo2basic
GeoMakie.GeoAxis
GeoMakie.geoformat_ticklabels
GeoMakie.meshimage
```

--------------------------------

### Plotting Images with GLMakie

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Demonstrates how to plot an image using `surface!` in GLMakie when `image!` or `heatmap!` do not work. It specifies the use of `ones(size(img)...)` for the z-values and `shading = NoShading` for proper image display.

```julia
surface!(ga, lonmin..lonmax, latmin..latmax, ones(size(img)...); color = img, shading = NoShading)
```

--------------------------------

### Plotting Scalar Fields with GLMakie

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Shows how to plot a scalar field using `surface!` in GLMakie. The `..` notation for intervals indicates that Makie will automatically sample points for the surface.

```julia
surface!(ga, lonmin..lonmax, latmin..latmax, field)
```

--------------------------------

### Plotting with Central Longitude Shift

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/index.md

Illustrates how to use the `cshift` function to prepare data for plotting with a specific central longitude, then visualizes it using `GeoAxis` and `surface`.

```julia
lons = -180:180
lats = -90:90
field = [exp(cosd(l)) + 3(y/90) for l in lons, y in lats]

lon_0 = -160
(lons_shift, field_shift) = cshift(lons, field, lon_0)

fig = Figure()
ax = GeoAxis(fig[1,1]; dest = "+proj=eqearth +lon_0=$(lon_0)")
surface!(ax, lons_shift, lats, field_shift, colormap=:balance)
lines!(ax, GeoMakie.coastlines(ax), color=:black, overdraw = true)
fig
```

--------------------------------

### GeoMakie Built-in Data Sources

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/data.md

Provides access to plottable geographic data from Natural Earth. These functions can be directly passed to Makie plotting functions like `lines`, `poly`, or `image`.

```julia
using GeoMakie

# Example usage:
coastlines()
land()
earth()
```

--------------------------------

### Visualizing Valid/Invalid Regions in a Projection

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/nonlinear_transforms.md

Generates a heatmap to visualize which points are valid (visible) or invalid (invisible) within a specific geographic projection. This helps in understanding bounding box limitations.

```julia
lons = LinRange(-180, 180, 500)
lats = LinRange(-90, 90, 500)

valid_points = [isfinite(Makie.apply_transform(ga.transform_func[], Point2f(lon, lat))) for lon in lons, lat in lats]

f, a, p = heatmap(
    lons, lats, valid_points;
    axis = (; aspect = DataAspect(), xlabel = "Longitudes", ylabel = "Latitudes")
)
Legend(f[2, 1], [PolyElement(color = first(to_colormap(p.colormap[]))), PolyElement(color = last(to_colormap(p.colormap[])))], ["Invalid (invisible)", "Valid (visible)"], tellheight = true, tellwidth = false)
f
```

--------------------------------

### Changing Central Longitude

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/introduction.md

Demonstrates how to adjust the central longitude of the map projection to handle data that wraps around the globe. This is achieved by modifying the `dest` argument in GeoAxis.

```julia
ax = GeoAxis(fig[1,1]; dest = "+proj=eqearth +lon_0=180")
```

--------------------------------

### Central Longitude Shifting Function

Source: https://github.com/makieorg/geomakie.jl/blob/master/docs/src/index.md

Provides a Julia function `cshift` to adjust longitude data and associated fields when changing the central longitude of a map projection, preventing wrapping errors.

```julia
function cshift(lons, field, lon_0)
   shift = @. lons - lon_0 > 180
   nn = sum(shift)
   (circshift(lons - 360shift, nn), circshift(field, (nn, 0)))
end
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.