Add Figure.tilemap to plot XYZ tile maps (#2394)

Adding the tilemap method for plotting XYZ tile maps.
This is a wrapper around `pygmt.datasets.load_tile_map`
and `pygmt.Figure.grdimage`. Aliases from `grdimage` have
been copied over, and docstring for parameters from
`load_tile_map` have been copied over too.

* Add rioxarray to CI build matrix and include it as optional dependency

Let the Continuous Integration tests run with `rioxarray`,
include it in pyproject.toml and environment.yml, and document
it in `doc/install.rst` as an optional dependency.

* Reproject and plot map in lonlat coordinates by default

Given a region in lonlat coordinates, ensure that the output
figure is also plotted in lonlat instead of Web Mercator.

* Ensure that plot is clipped to bounding box region when no_clip is False

Pass the region to the grdimage call so that the plot extent is
the same as the bounding box region. Set `no_clip=True` to prevent
the clipping from happening (i.e., the plot will extend out from
the region of interest). Added a unit test checking results for
both no_clip True/False, and updated some previous baseline images
that have changed slightly.

* Web Mercator to Spherical Mercator and remove verbose statement

* Use rio.set_crs instead of rio.write_crs

So that the `spatial_ref` CF coordinate won't be set, which would
result in an int32 variable on Windows but int64 on Linux/macOS.

---------

Co-authored-by: Dongdong Tian <[email protected]>
Co-authored-by: Michael Grund <[email protected]>
Co-authored-by: Yvonne Fröhlich <[email protected]>

.github/workflows/ci_docs.yml

@@ -71,7 +71,7 @@ jobs:
  - name: Install dependencies
  run: |
  mamba install gmt=6.4.0 numpy pandas xarray netCDF4 packaging \
- build ipython make myst-parser contextily geopandas \
+ build ipython make myst-parser contextily geopandas rioxarray \
  sphinx sphinx-copybutton sphinx-design sphinx-gallery sphinx_rtd_theme
 
  # Show installed pkg information for postmortem diagnostic

.github/workflows/ci_tests.yaml

@@ -47,7 +47,7 @@ jobs:
  optional-packages: ''
  - python-version: '3.11'
  numpy-version: '1.24'
- optional-packages: 'contextily geopandas ipython'
+ optional-packages: 'contextily geopandas ipython rioxarray'
  timeout-minutes: 30
  defaults:
  run:

.github/workflows/ci_tests_dev.yaml

@@ -101,8 +101,9 @@ jobs:
  geopandas ghostscript libnetcdf hdf5 zlib curl pcre make
  pip install --pre --prefer-binary \
  numpy pandas xarray netCDF4 packaging \
- build contextily dvc ipython 'pytest>=6.0' pytest-cov \
- pytest-doctestplus pytest-mpl sphinx-gallery
+ build contextily dvc ipython rioxarray \
+ 'pytest>=6.0' pytest-cov pytest-doctestplus pytest-mpl \
+ sphinx-gallery
 
  # Pull baseline image data from dvc remote (DAGsHub)
  - name: Pull baseline image data from dvc remote

.github/workflows/ci_tests_legacy.yaml

@@ -66,7 +66,7 @@ jobs:
  run: |
  mamba install gmt=${{ matrix.gmt_version }} numpy \
  pandas xarray netCDF4 packaging \
- contextily geopandas ipython \
+ contextily geopandas ipython rioxarray \
  build dvc make 'pytest>=6.0' \
  pytest-cov pytest-doctestplus pytest-mpl sphinx-gallery
 

ci/requirements/docs.yml

@@ -14,6 +14,7 @@ dependencies:
  # Optional dependencies
  - contextily
  - geopandas
+ - rioxarray
  # Development dependencies (general)
  - build
  - ipython

doc/api/index.rst

@@ -62,6 +62,7 @@ Plotting raster data
  Figure.grdimage
  Figure.grdview
  Figure.image
+ Figure.tilemap
 
 Configuring layout
 ~~~~~~~~~~~~~~~~~~

doc/conf.py

@@ -60,6 +60,7 @@
  "python": ("https://docs.python.org/3/", None),
  "pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None),
  "rasterio": ("https://rasterio.readthedocs.io/en/stable/", None),
+ "rioxarray": ("https://corteva.github.io/rioxarray/stable/", None),
  "xarray": ("https://docs.xarray.dev/en/stable/", None),
  "xyzservices": ("https://xyzservices.readthedocs.io/en/stable", None),
 }

doc/install.rst

@@ -108,6 +108,7 @@ The following are optional dependencies:
 * `IPython <https://ipython.org>`__: For embedding the figures in Jupyter notebooks (recommended).
 * `Contextily <https://contextily.readthedocs.io>`__: For retrieving tile maps from the internet.
 * `GeoPandas <https://geopandas.org>`__: For using and plotting GeoDataFrame objects.
+* `RioXarray <https://corteva.github.io/rioxarray>`__: For saving multi-band rasters to GeoTIFFs.
 
 Installing GMT and other dependencies
 -------------------------------------

environment.yml

@@ -15,6 +15,7 @@ dependencies:
  - contextily
  - geopandas
  - ipython
+ - rioxarray
  # Development dependencies (general)
  - build
  - dvc

pygmt/datasets/tile_map.py

@@ -103,16 +103,16 @@ def load_tile_map(region, zoom="auto", source=None, lonlat=True, wait=0, max_ret
  Frozen({'band': 3, 'y': 256, 'x': 512})
  >>> raster.coords
  Coordinates:
- * band (band) uint8 0 1 2
- * y (y) float64 -7.081e-10 -7.858e+04 ... -1.996e+07 -2.004e+07
- * x (x) float64 -2.004e+07 -1.996e+07 ... 1.996e+07 2.004e+07
+ * band  (band) uint8 0 1 2
+ * y  (y) float64 -7.081e-10 -7.858e+04 ... -1.996e+07 ...
+ * x  (x) float64 -2.004e+07 -1.996e+07 ... 1.996e+07 2.004e+07
  """
  # pylint: disable=too-many-locals
  if contextily is None:
  raise ImportError(
  "Package `contextily` is required to be installed to use this function. "
  "Please use `pip install contextily` or "
- "`conda install -c conda-forge contextily` "
+ "`mamba install -c conda-forge contextily` "
  "to install the package."
  )
 
@@ -147,6 +147,6 @@ def load_tile_map(region, zoom="auto", source=None, lonlat=True, wait=0, max_ret
 
  # If rioxarray is installed, set the coordinate reference system
  if hasattr(dataarray, "rio"):
- dataarray = dataarray.rio.write_crs(input_crs="EPSG:3857")
+ dataarray = dataarray.rio.set_crs(input_crs="EPSG:3857")
 
  return dataarray

pygmt/figure.py

@@ -523,6 +523,7 @@ def _repr_html_(self):
  subplot,
  ternary,
  text,
+ tilemap,
  timestamp,
  velo,
  wiggle,

pygmt/src/__init__.py

@@ -51,6 +51,7 @@
 from pygmt.src.surface import surface
 from pygmt.src.ternary import ternary
 from pygmt.src.text import text_ as text # "text" is an argument within "text_"
+from pygmt.src.tilemap import tilemap
 from pygmt.src.timestamp import timestamp
 from pygmt.src.triangulate import triangulate
 from pygmt.src.velo import velo

pygmt/src/tilemap.py

@@ -0,0 +1,155 @@
+"""
+tilemap - Plot XYZ tile maps.
+"""
+from pygmt.clib import Session
+from pygmt.datasets.tile_map import load_tile_map
+from pygmt.helpers import (
+ GMTTempFile,
+ build_arg_string,
+ fmt_docstring,
+ kwargs_to_strings,
+ use_alias,
+)
+
+try:
+ import rioxarray
+except ImportError:
+ rioxarray = None
+
+
+@fmt_docstring
+@use_alias(
+ B="frame",
+ E="dpi",
+ I="shading",
+ J="projection",
+ M="monochrome",
+ N="no_clip",
+ Q="nan_transparent",
+ # R="region",
+ V="verbose",
+ c="panel",
+ p="perspective",
+ t="transparency",
+)
+@kwargs_to_strings(c="sequence_comma", p="sequence") # R="sequence",
+def tilemap(
+ self, region, zoom="auto", source=None, lonlat=True, wait=0, max_retries=2, **kwargs
+):
+ r"""
+ Plots an XYZ tile map.
+
+ This method loads XYZ tile maps from a tile server or local file using
+ :func:`pygmt.datasets.load_tile_map` into a georeferenced form, and plots
+ the tiles as a basemap or overlay using :meth:`pygmt.Figure.grdimage`.
+
+ **Note**: By default, standard web map tiles served in a Spherical Mercator
+ (EPSG:3857) Cartesian format will be reprojected to a geographic coordinate
+ reference system (OGC:WGS84) and plotted with longitude/latitude bounds
+ when ``lonlat=True``. If reprojection is not desired, please set
+ ``lonlat=False`` and provide Spherical Mercator (EPSG:3857) coordinates to
+ the ``region`` parameter.
+
+ {aliases}
+
+ Parameters
+ ----------
+ region : list
+ The bounding box of the map in the form of a list [*xmin*, *xmax*,
+ *ymin*, *ymax*]. These coordinates should be in longitude/latitude if
+ ``lonlat=True`` or Spherical Mercator (EPSG:3857) if ``lonlat=False``.
+
+ zoom : int or str
+ Optional. Level of detail. Higher levels (e.g. ``22``) mean a zoom
+ level closer to the Earth's surface, with more tiles covering a smaller
+ geographical area and thus more detail. Lower levels (e.g. ``0``) mean
+ a zoom level further from the Earth's surface, with less tiles covering
+ a larger geographical area and thus less detail [Default is
+ ``"auto"`` to automatically determine the zoom level based on the
+ bounding box region extent].
+
+ **Note**: The maximum possible zoom level may be smaller than ``22``,
+ and depends on what is supported by the chosen web tile provider
+ source.
+
+ source : xyzservices.TileProvider or str
+ Optional. The tile source: web tile provider or path to a local file.
+ Provide either:
+
+ - A web tile provider in the form of a
+ :class:`xyzservices.TileProvider` object. See
+ :doc:`Contextily providers <contextily:providers_deepdive>` for a
+ list of tile providers [Default is
+ ``xyzservices.providers.Stamen.Terrain``, i.e. Stamen Terrain web
+ tiles].
+ - A web tile provider in the form of a URL. The placeholders for the
+ XYZ in the URL need to be {{x}}, {{y}}, {{z}}, respectively. E.g.
+ ``https://{{s}}.tile.openstreetmap.org/{{z}}/{{x}}/{{y}}.png``.
+ - A local file path. The file is read with
+ :doc:`rasterio <rasterio:index>` and all bands are loaded into the
+ basemap. See
+ :doc:`contextily:working_with_local_files`.
+
+ IMPORTANT: Tiles are assumed to be in the Spherical Mercator projection
+ (EPSG:3857).
+
+ lonlat : bool
+ Optional. If ``False``, coordinates in ``region`` are assumed to be
+ Spherical Mercator as opposed to longitude/latitude [Default is
+ ``True``].
+
+ wait : int
+ Optional. If the tile API is rate-limited, the number of seconds to
+ wait between a failed request and the next try [Default is ``0``].
+
+ max_retries : int
+ Optional. Total number of rejected requests allowed before contextily
+ will stop trying to fetch more tiles from a rate-limited API [Default
+ is ``2``].
+
+ kwargs : dict
+ Extra keyword arguments to pass to :meth:`pygmt.Figure.grdimage`.
+
+ Raises
+ ------
+ ImportError
+ If ``rioxarray`` is not installed. Follow
+ :doc:`install instructions for rioxarray <rioxarray:installation>`,
+ (e.g. via ``pip install rioxarray``) before using this function.
+ """
+ kwargs = self._preprocess(**kwargs) # pylint: disable=protected-access
+
+ if rioxarray is None:
+ raise ImportError(
+ "Package `rioxarray` is required to be installed to use this function. "
+ "Please use `pip install rioxarray` or "
+ "`mamba install -c conda-forge rioxarray` "
+ "to install the package."
+ )
+
+ raster = load_tile_map(
+ region=region,
+ zoom=zoom,
+ source=source,
+ lonlat=lonlat,
+ wait=wait,
+ max_retries=max_retries,
+ )
+
+ # Reproject raster from Spherical Mercator (EPSG:3857) to
+ # lonlat (OGC:CRS84) if bounding box region was provided in lonlat
+ if lonlat and raster.rio.crs == "EPSG:3857":
+ raster = raster.rio.reproject(dst_crs="OGC:CRS84")
+ raster.gmt.gtype = 1 # set to geographic type
+
+ # Only set region if no_clip is None or False, so that plot is clipped to
+ # exact bounding box region
+ if kwargs.get("N") in [None, False]:
+ kwargs["R"] = "/".join(str(coordinate) for coordinate in region)
+
+ with GMTTempFile(suffix=".tif") as tmpfile:
+ raster.rio.to_raster(raster_path=tmpfile.name)
+ with Session() as lib:
+ lib.call_module(
+ module="grdimage", args=build_arg_string(kwargs, infile=tmpfile.name)
+ )

pygmt/tests/baseline/test_tilemap_no_clip_False.png.dvc

@@ -0,0 +1,4 @@
+outs:
+- md5: 9317080021b0ce6f3b9ea6d17feece00
+ size: 23275
+ path: test_tilemap_no_clip_False.png

pygmt/tests/baseline/test_tilemap_no_clip_True.png.dvc

@@ -0,0 +1,4 @@
+outs:
+- md5: 83e6119b2351f9d472ca7e3cc45388c3
+ size: 60984
+ path: test_tilemap_no_clip_True.png

pygmt/tests/baseline/test_tilemap_ogc_wgs84.png.dvc

@@ -0,0 +1,4 @@
+outs:
+- md5: 3de0555d86aca49b92425c8d5272a934
+ size: 59286
+ path: test_tilemap_ogc_wgs84.png

pygmt/tests/baseline/test_tilemap_web_mercator.png.dvc

@@ -0,0 +1,4 @@
+outs:
+- md5: a76d9a9a1890d6b1345305eaea598bc3
+ size: 122195
+ path: test_tilemap_web_mercator.png

pygmt/tests/test_tilemap.py

@@ -0,0 +1,54 @@
+"""
+Tests Figure.tilemap.
+"""
+import pytest
+from pygmt import Figure
+
+contextily = pytest.importorskip("contextily")
+rioxarray = pytest.importorskip("rioxarray")
+
+
+@pytest.mark.mpl_image_compare
+def test_tilemap_web_mercator():
+ """
+ Create a tilemap plot in Spherical Mercator projection (EPSG:3857).
+ """
+ fig = Figure()
+ fig.tilemap(
+ region=[-20000000.0, 20000000.0, -20000000.0, 20000000.0],
+ zoom=0,
+ lonlat=False,
+ frame="afg",
+ )
+ return fig
+
+
+@pytest.mark.mpl_image_compare
+def test_tilemap_ogc_wgs84():
+ """
+ Create a tilemap plot using longitude/latitude coordinates (OGC:WGS84),
+ centred on the international date line.
+ """
+ fig = Figure()
+ fig.tilemap(
+ region=[-180.0, 180.0, -90, 90], zoom=0, frame="afg", projection="R180/5c"
+ )
+ return fig
+
+
+@pytest.mark.mpl_image_compare
+@pytest.mark.parametrize("no_clip", [False, True])
+def test_tilemap_no_clip(no_clip):
+ """
+ Create a tilemap plot clipped to the Southern Hemisphere when no_clip is
+ False, but for the whole globe when no_clip is True.
+ """
+ fig = Figure()
+ fig.tilemap(
+ region=[-180.0, 180.0, -90, 0.6886],
+ zoom=0,
+ frame="afg",
+ projection="H180/5c",
+ no_clip=no_clip,
+ )
+ return fig

pyproject.toml

@@ -16,7 +16,7 @@ keywords = [
  "geophysics",
  "geospatial",
  "oceanography",
- "seismology"
+ "seismology",
 ]
 classifiers = [
  "Development Status :: 4 - Beta",
@@ -36,15 +36,16 @@ dependencies = [
  "pandas",
  "xarray",
  "netCDF4",
- "packaging"
+ "packaging",
 ]
 dynamic = ["version"]
 
 [project.optional-dependencies]
 all = [
  "contextily",
  "geopandas",
- "ipython"
+ "ipython",
+ "rioxarray",
 ]
 
 [project.urls]