This example demonstrates how to use your own plate model and reconstruct points.

Step 0: Download the test files for this example.

Don't worry about the FileDownloader. If you'd like, you may download the zip file manually.

import cartopy.crs as ccrs
from pathlib import Path
import matplotlib.pyplot as plt
import pygplates
from plate_model_manager.utils import download

import gplately
from gplately.auxiliary import get_plate_reconstruction

time = 50
data_dir = Path("gplately-example-data") / "06-LoadPlateModelFromFiles"
data_dir.mkdir(parents=True, exist_ok=True)

downloader = download.FileDownloader(
    "https://repo.gplates.org/webdav/gplately-test-data/test_model.zip",
    f"{data_dir}/.metadata.json",
    f"{data_dir}",
)
# only re-download when necessary
if downloader.check_if_file_need_update():
    downloader.download_file_and_update_metadata()
else:
    print(f"The local files are still good. No need to download again!")

Step 1: Create PlateReconstruction and PlotTopologies objects with your own plate model

model = gplately.PlateReconstruction(
    rotation_model=f"{data_dir}/test_model/test_rotations.rot",
    topology_features=f"{data_dir}/test_model/test_topology.gpmlz",
    static_polygons=f"{data_dir}/test_model/test_static_polygons.gpmlz",
)
gplot = gplately.PlotTopologies(
    model,
    coastlines=f"{data_dir}/test_model/test_coastlines.gpmlz",
    continents=f"{data_dir}/test_model/test_continental_polygons.shp",
    COBs=f"{data_dir}/test_model/test_cobs.gpmlz",
    time=time,
)

Step 2: Reconstruct points in shapefile

points = [
    p.get_geometry().to_lat_lon()
    for p in pygplates.FeatureCollection(  # pyright: ignore[reportAttributeAccessIssue]
        f"{data_dir}/test_model/Australia_Points.shp"
    )
]

g_points = gplately.Points(
    plate_reconstruction=model, lons=[p[1] for p in points], lats=[p[0] for p in points]
)
reconstructed_points = g_points.reconstruct(time=time, return_array=True)

Step 3: Plot the map

ax = plt.figure(figsize=(8, 6)).add_subplot(
    111, projection=ccrs.Robinson(central_longitude=180)
)

ax.scatter(
    reconstructed_points[0],  # type: ignore
    reconstructed_points[1],  # type: ignore
    transform=ccrs.PlateCarree(),
    marker="o",
    color="blue",
)
gplot.plot_coastlines(ax, color="grey")
ax.set_global()  # type: ignore
plt.title(f"{time} Ma")
plt.show()