diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 0000000..af33dea
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,8 @@
+version: 2
+updates:
+  - package-ecosystem: "uv"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    allow:
+      - dependency-name: "ruff"
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..5dfeefa
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,13 @@
+name: CI
+
+on: [pull_request]
+
+jobs:
+  ci:
+    uses: ucgmsim/meta-ci-action/.github/workflows/ci.yml@main
+    with:
+      package-dir: pygmt_helper
+      system-packages: "gmt libgmt-dev ghostscript"
+      uv-extra-args: "--all-extras"
+      numpydoc-extra-excludes: "-E examples"
+      enable-coverage: false
diff --git a/.github/workflows/claude-review.yml b/.github/workflows/claude-review.yml
new file mode 100644
index 0000000..671faa6
--- /dev/null
+++ b/.github/workflows/claude-review.yml
@@ -0,0 +1,11 @@
+name: Claude PR Review
+
+on:
+  issue_comment:
+    types: [created]
+
+jobs:
+  review:
+    uses: ucgmsim/meta-ci-action/.github/workflows/claude-review.yml@main
+    secrets:
+      claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
diff --git a/.github/workflows/deptry.yml b/.github/workflows/deptry.yml
deleted file mode 100644
index 71fc808..0000000
--- a/.github/workflows/deptry.yml
+++ /dev/null
@@ -1,27 +0,0 @@
-name: Deptry Dependency Check
-
-on: [pull_request]
-
-jobs:
-  dependencies:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      # Setup the minimum required python distribution
-      - uses: actions/setup-python@v5
-        with:
-          python-version: "3.13"
-      # Install deptry
-      - run: pip install deptry
-      # Remove testing related packages
-      - run: sed -e '/hypothesis*/d' -e '/pytest*/d' -i requirements.txt
-      # Install all other packages
-      - run: pip install -r requirements.txt
-      # Remove pyproject.toml so that deptry doesn't get confused
-      - run: rm pyproject.toml
-      # Remove the pytest modules because they are for testing only.
-      - run: sed -i -e '/pytest/d' -e '/hypothesis/d' -e '/diffimg/d' requirements.txt
-      # Install requirements
-      - run: pip install -r requirements.txt
-      # Run deptry to check that all dependencies are present.
-      - run: deptry . --per-rule-ignores "DEP002=pyarrow|netcdf4"
diff --git a/.github/workflows/git-extension.yml b/.github/workflows/git-extension.yml
deleted file mode 100644
index f99ccf8..0000000
--- a/.github/workflows/git-extension.yml
+++ /dev/null
@@ -1,18 +0,0 @@
-name: Check requirements.txt git URLs are properly formatted
-
-on: pull_request
-
-permissions:
-  contents: read
-  pull-requests: write
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - run: sed -i '/git\+/ { /\.git$/! s/$/.git/ }' requirements.txt
-      - uses: parkerbxyz/suggest-changes@v2
-        with:
-          comment: 'Please change the following dependencies for consistency.'
-          event: 'REQUEST_CHANGES'
diff --git a/.github/workflows/numpydoc.yml b/.github/workflows/numpydoc.yml
deleted file mode 100644
index 65721e1..0000000
--- a/.github/workflows/numpydoc.yml
+++ /dev/null
@@ -1,36 +0,0 @@
-name: Numpydoc Lint
-
-on:
-  push:
-    branches:
-      - main
-  pull_request:
-    branches:
-      - main
-
-jobs:
-  numpydoc-lint:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout repository
-        uses: actions/checkout@v4
-
-      - uses: awalsh128/cache-apt-pkgs-action@latest
-        with:
-          packages: fd-find
-          version: 1.0
-
-      - name: Set up Python
-        uses: actions/setup-python@v4
-        with:
-          python-version: "3.12" # Adjust version as needed
-
-      - name: Install dependencies
-        run: |
-          pip install numpydoc
-          sudo apt-get install
-
-      - name: Run Numpydoc Lint
-        run: |
-          fdfind . pygmt_helper/ -E "__init__.py" -E "examples" --extension py -x numpydoc lint
diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml
deleted file mode 100644
index a884194..0000000
--- a/.github/workflows/pytest.yml
+++ /dev/null
@@ -1,82 +0,0 @@
-name: Pytest Check
-
-on: [pull_request]
-
-jobs:
-  test:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.x"
-      - name: Install GMT
-        run: sudo apt-get update && sudo apt-get install -y gmt libgmt-dev ghostscript
-
-      - name: Define a cache dependency glob
-        uses: astral-sh/setup-uv@v5
-        with:
-          enable-cache: true
-          cache-dependency-glob: "requirements**.txt"
-
-      - name: Install the project
-        run: uv sync --all-extras --dev
-
-      - name: Run tests
-        run: |
-          source .venv/bin/activate
-          pytest --cov=pygmt_helper --cov-report=html tests
-
-      - name: Upload coverage data
-        uses: actions/upload-artifact@v4
-        with:
-          name: coverage-data
-          path: .coverage
-          include-hidden-files: true
-          if-no-files-found: ignore
-
-  # TODO: uncomment when ready to perform coverage checks
-  # coverage:
-  #   needs: test
-  #   runs-on: ubuntu-latest
-
-  #   steps:
-  #     - name: Check out the repo
-  #       uses: actions/checkout@v4
-
-  #     - name: Set up Python
-  #       uses: actions/setup-python@v5
-  #       with:
-  #         python-version: 3.12
-
-  #     - name: Install dependencies
-  #       run: |
-  #         python -m pip install --upgrade coverage[toml]
-
-  #     - name: Download coverage data
-  #       uses: actions/download-artifact@v4
-  #       with:
-  #         name: coverage-data
-
-  #     - name: Combine coverage and fail it it’s under 100 %
-  #       run: |
-  #         python -m coverage html --skip-covered --skip-empty
-
-  #         # Report and write to summary.
-  #         python -m coverage report | sed 's/^/    /' >> $GITHUB_STEP_SUMMARY
-
-  #         # Report again and fail if under 95%.
-  #         python -Im coverage report --fail-under=95
-
-  #     - name: Upload HTML report if check failed
-  #       uses: actions/upload-artifact@v4
-
-  #       with:
-  #         name: html-report
-  #         path: htmlcov
-
-  #       if: ${{ failure() }}
diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml
deleted file mode 100644
index 8e10796..0000000
--- a/.github/workflows/ruff.yml
+++ /dev/null
@@ -1,8 +0,0 @@
-name: Ruff
-on: [pull_request]
-jobs:
-  ruff:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-      - uses: chartboost/ruff-action@v1
diff --git a/pygmt_helper/examples/event_stations.py b/pygmt_helper/examples/event_stations.py
index 050e513..37e6024 100644
--- a/pygmt_helper/examples/event_stations.py
+++ b/pygmt_helper/examples/event_stations.py
@@ -2,7 +2,6 @@
 
 from pathlib import Path
 
-import numpy as np
 import pandas as pd
 
 from pygmt_helper import plotting
@@ -128,10 +127,7 @@
     box="+p0.5p,black",
 ):
     fig = plotting.gen_region_fig(
-        region=inset_region,
-        high_res_topo=use_high_res_topo,
-        high_quality=True,
-        fig=fig
+        region=inset_region, high_res_topo=use_high_res_topo, high_quality=True, fig=fig
     )
 
     # Plot the sites
diff --git a/pygmt_helper/examples/fault_traces.py b/pygmt_helper/examples/fault_traces.py
index 8b2a940..88278a7 100644
--- a/pygmt_helper/examples/fault_traces.py
+++ b/pygmt_helper/examples/fault_traces.py
@@ -4,7 +4,7 @@
 import pandas as pd
 from qcore import nhm
 
-from pygmt_helper import plots, plotting
+from pygmt_helper import plots
 
 # Config
 nhm_ffp = Path("path to nhm file")
@@ -17,9 +17,6 @@
 # Load the NHM
 nhm_data = nhm.load_nhm(str(nhm_ffp))
 
-# Load plotting data
-map_data = plotting.NZMapData.load()
-
 # Load the source information
 cybershake_df = pd.read_csv(
     Path(__file__).parent / "resources" / "cybershake_v20p4_200.csv", index_col=0
@@ -41,7 +38,6 @@
 fig = plots.faults_plot(
     rupture_df,
     [cur_fault for cur_name, cur_fault in nhm_data.items()],
-    map_data=map_data,
     title="Faults",
     show_hypo=show_hypo,
 )
@@ -49,4 +45,4 @@
     output_dir / f"fault_traces.png",
     dpi=900,
     anti_alias=True,
-)
\ No newline at end of file
+)
diff --git a/pygmt_helper/examples/polygons.py b/pygmt_helper/examples/polygons.py
index 8f0e86e..28acda7 100644
--- a/pygmt_helper/examples/polygons.py
+++ b/pygmt_helper/examples/polygons.py
@@ -1,6 +1,5 @@
 from pygmt_helper import plotting
 
-import pygmt
 import shapely
 
 region = (170, 175, -45, -40)
@@ -16,39 +15,42 @@
 
 
 test_polygon = shapely.Polygon(
-          [
-            [
-              170.50175961398025,
-              -43.43397759003748
-            ],
-            [
-              170.03920443841383,
-              -43.88211179838194
-            ],
-            [
-              170.61151846919984,
-              -44.265124035523286
-            ],
-            [
-              171.81886587660995,
-              -43.74633923909617
-            ],
-            [
-              171.00351438069657,
-              -43.24605985518982
-            ],
-            [
-              170.50175961398025,
-              -43.43397759003748
-            ]
-        ],
-
+    [
+        [170.50175961398025, -43.43397759003748],
+        [170.03920443841383, -43.88211179838194],
+        [170.61151846919984, -44.265124035523286],
+        [171.81886587660995, -43.74633923909617],
+        [171.00351438069657, -43.24605985518982],
+        [170.50175961398025, -43.43397759003748],
+    ],
 )
 
 
-plotting.plot_geometry(fig, test_polygon, pen='1p,blue,-', crs='4326')
-plotting.label_polygon_on_boundary(fig, test_polygon, 'Outside!', align=True, projection=projection, fill='white', pen='1p,black', offset='0.3c')
-plotting.label_geometry_inside(fig, test_polygon, 'Inside!', fill='white', pen='1p,black')
-plotting.label_polygon_at(fig, 0.35, test_polygon, 'Around!', align=True, projection=projection, fill='white', pen='1p,black', offset='0.3c', justify='TC')
+plotting.plot_geometry(fig, test_polygon, pen="1p,blue,-", crs="4326")
+plotting.label_polygon_on_boundary(
+    fig,
+    test_polygon,
+    "Outside!",
+    align=True,
+    projection=projection,
+    fill="white",
+    pen="1p,black",
+    offset="0.3c",
+)
+plotting.label_geometry_inside(
+    fig, test_polygon, "Inside!", fill="white", pen="1p,black"
+)
+plotting.label_polygon_at(
+    fig,
+    0.35,
+    test_polygon,
+    "Around!",
+    align=True,
+    projection=projection,
+    fill="white",
+    pen="1p,black",
+    offset="0.3c",
+    justify="TC",
+)
 
-fig.savefig('polygons.jpeg')
+fig.savefig("polygons.jpeg")
diff --git a/pygmt_helper/examples/srf.py b/pygmt_helper/examples/srf.py
index 33fd96d..68a5b84 100644
--- a/pygmt_helper/examples/srf.py
+++ b/pygmt_helper/examples/srf.py
@@ -6,8 +6,7 @@
 from pathlib import Path
 
 import numpy as np
-import pandas as pd
-from qcore import srf
+from source_modelling import srf
 
 from pygmt_helper import plotting
 
@@ -16,33 +15,35 @@
 srf_ffp = Path(__file__).parent / "resources" / "Akatarawa.srf"
 
 # Load the srf data
-planes = srf.read_header(str(srf_ffp), idx=True)
-corners = srf.get_bounds(str(srf_ffp), depth=True)
-corners = np.transpose(np.array(corners), (1, 2, 0))
-slip_values = srf.srf2llv_py(str(srf_ffp), value="slip")
+srf_file = srf.read_srf(srf_ffp)
+planes = srf_file.planes
+segments = srf_file.segments
 
 # Compute colormap limits
-slip_all = np.concatenate([cur_values[:, 2] for cur_values in slip_values])
+slip_all = np.concatenate([cur_segment["slip"].to_numpy() for cur_segment in segments])
 slip_cb_max = max(int(np.round(np.quantile(slip_all, 0.98), -1)), 10)
 cmap_limits = (0, slip_cb_max, slip_cb_max / 10)
 
+# corners is (n_planes, 4, 3), each row is (lat, lon, depth)
+corners = np.stack([cur_plane.corners for cur_plane in planes])
 region = (
-    corners[:, 0, :].min() - 0.5,
-    corners[:, 0, :].max() + 0.5,
-    corners[:, 1, :].min() - 0.25,
-    corners[:, 1, :].max() + 0.25,
+    corners[..., 1].min() - 0.5,
+    corners[..., 1].max() + 0.5,
+    corners[..., 0].min() - 0.25,
+    corners[..., 0].max() + 0.25,
 )
 fig = plotting.gen_region_fig("Title", region=region)
 
 # Process each fault plane
-for ix, (cur_plane, cur_slip) in enumerate(zip(planes, slip_values)):
+for ix, cur_plane in enumerate(planes):
     print(f"Processing plane {ix}")
-    cur_corners = corners[:, :, ix]
+    cur_corners = cur_plane.corners
+    cur_segment = segments[ix]
 
     # Turn into a grid
-    cur_df = pd.DataFrame(data=cur_slip, columns=["lon", "lat", "slip"])
-    cur_xmin, cur_xmax = cur_corners[:, 0].min(), cur_corners[:, 0].max()
-    cur_ymin, cur_ymax = cur_corners[:, 1].min(), cur_corners[:, 1].max()
+    cur_df = cur_segment[["lon", "lat", "slip"]]
+    cur_xmin, cur_xmax = cur_corners[:, 1].min(), cur_corners[:, 1].max()
+    cur_ymin, cur_ymax = cur_corners[:, 0].min(), cur_corners[:, 0].max()
     cur_grid = plotting.create_grid(
         cur_df,
         "slip",
@@ -67,21 +68,21 @@
 
     # Draw the outline
     fig.plot(
-        x=cur_corners[:, 0].tolist() + [cur_corners[0, 0]],
-        y=cur_corners[:, 1].tolist() + [cur_corners[0, 1]],
+        x=cur_corners[:, 1].tolist() + [cur_corners[0, 1]],
+        y=cur_corners[:, 0].tolist() + [cur_corners[0, 0]],
         pen="0.5p,black,-",
     )
 
     # Draw the top-edge
     cur_sort_ind = np.argsort(cur_corners[:, 2])
     fig.plot(
-        x=cur_corners[cur_sort_ind, 0][:2],
-        y=cur_corners[cur_sort_ind, 1][:2],
+        x=cur_corners[cur_sort_ind, 1][:2],
+        y=cur_corners[cur_sort_ind, 0][:2],
         pen="1.0p,black",
     )
 
 fig.savefig(
-    output_dir / f"srf.png",
+    output_dir / "srf.png",
     dpi=1200,
     anti_alias=True,
 )
diff --git a/pygmt_helper/plots.py b/pygmt_helper/plots.py
index 7554943..c1cb061 100644
--- a/pygmt_helper/plots.py
+++ b/pygmt_helper/plots.py
@@ -6,14 +6,15 @@
 from enum import StrEnum
 from importlib import reload
 from pathlib import Path
-from typing import Optional, Any
+from typing import Any
 
 import numpy as np
 import pandas as pd
 import pygmt
-from qcore import nhm
 from tqdm import tqdm
 
+from qcore import nhm
+
 from . import plotting
 
 
@@ -28,11 +29,12 @@ def im_plot(
     data_df: pd.DataFrame,
     im: str,
     rupture_name: str,
-    hypo_loc: Optional[tuple[float, float]] = None,
-    fault_trace: Optional[np.ndarray] = None,
-    cb_limits: Optional[tuple[float, float]] = None,
-    nz_map_data: Optional[plotting.NZMapData] = None,
-    region: Optional[str | tuple[float, float, float, float]] = None,
+    hypo_loc: tuple[float, float] | None = None,
+    fault_trace: np.ndarray | None = None,
+    cb_limits: tuple[float, float] | None = None,
+    plot_roads: bool = False,
+    plot_topo: bool = True,
+    region: tuple[float, float, float, float] | None = None,
 ) -> pygmt.Figure:
     """
     Creates a single intensity measure (IM) plot figure for a given rupture.
@@ -53,9 +55,11 @@ def im_plot(
     cb_limits : tuple[float, float], optional
         Colormap/bar limits as (min, max).
         These should be in IM-space (i.e., not logged).
-    nz_map_data : plotting.NZMapData, optional
-        Map data required for plotting roads and topography.
-    region : str or tuple[float, float, float, float], optional
+    plot_roads : bool, optional, default=False
+        If True, plot roads on the map.
+    plot_topo : bool, optional, default=True
+        If True, plot topography on the map.
+    region : tuple[float, float, float, float], optional
         The map region to plot. If `None`, it is inferred from `data_df`.
 
     Returns
@@ -67,7 +71,6 @@ def im_plot(
     -----
     - The function computes an interpolated grid of IM values and plots it.
     - The color map is automatically scaled unless `cb_limits` is provided.
-    - Roads and topography are plotted if `nz_map_data` is supplied.
     - The hypocenter and fault trace, if provided, are overlaid on the figure.
     """
     region = (
@@ -85,9 +88,8 @@ def im_plot(
         rupture_name,
         region,
         projection="M17.0c",
-        plot_roads=True if nz_map_data is not None else False,
-        plot_topo=True if nz_map_data is not None else False,
-        map_data=nz_map_data,
+        plot_roads=plot_roads,
+        plot_topo=plot_topo,
     )
 
     # Apply exponential
@@ -113,7 +115,7 @@ def im_plot(
         ("white", "black"),
         reverse_cmap=True,
         transparency=35,
-        cb_label=im.IM.from_im_name(im).pretty_im_name,
+        cb_label=im,
     )
 
     if fault_trace is not None:
@@ -134,11 +136,10 @@ def im_plot(
 def faults_plot(
     rupture_df: pd.DataFrame,
     fault_data: Sequence[nhm.NHMFault],
-    region: str | tuple[float, float, float, float] = (164.8, 179.4, -47.5, -36.0),
-    map_data: Optional[plotting.NZMapData] = None,
+    region: tuple[float, float, float, float] = (164.8, 179.4, -47.5, -36.0),
     title: str = "Faults",
     show_hypo: bool = False,
-    highlight_faults: Optional[Sequence[str]] = None,
+    highlight_faults: Sequence[str] | None = None,
 ) -> pygmt.Figure:
     """
     Creates a figure showing all fault traces and the hypocenters of historic events.
@@ -153,10 +154,8 @@ def faults_plot(
         - `mag` : Magnitude of the event (used for marker sizing).
     fault_data : Sequence[nhm.NHMFault]
         List of NHMFault objects representing fault traces.
-    region : str or tuple[float, float, float, float], default=(164.8, 179.4, -47.5, -36.0)
+    region : tuple[float, float, float, float], default=(164.8, 179.4, -47.5, -36.0)
         Geographic region for the plot. See `gen_region_fig` for details.
-    map_data : plotting.NZMapData, optional
-        Custom map data for roads and topography.
     title : str, default="Faults"
         Title of the plot.
     show_hypo : bool, default=False
@@ -172,7 +171,6 @@ def faults_plot(
     fig = plotting.gen_region_fig(
         title,
         region,
-        map_data=map_data,
         plot_topo=True,
         plot_roads=False,
         plot_highways=True,
@@ -220,10 +218,11 @@ def im_plots(
     fault: str,
     ims: Sequence[str] | str,
     output_dir: Path,
-    rel_name: Optional[str] = None,
-    nhm_ffp: Optional[Path] = None,
-    nz_map_data: Optional[plotting.NZMapData] = None,
-    cb_limits_dict: Optional[dict[str, tuple[float, float]]] = None,
+    rel_name: str | None = None,
+    nhm_ffp: Path | None = None,
+    plot_roads: bool = False,
+    plot_topo: bool = True,
+    cb_limits_dict: dict[str, tuple[float, float]] | None = None,
     n_procs: int = 1,
 ) -> None:
     """
@@ -243,8 +242,10 @@ def im_plots(
         If provided, the function will generate plots for a specific realization (run) identified by this name.
     nhm_ffp : Path, optional
         Path to the NHM file, which can provide fault trace information.
-    nz_map_data : Optional[NZMapData], default=None
-        The NZMapData object to supply topographic data.
+    plot_roads : bool, optional, default=False
+        If True, plot roads on the map.
+    plot_topo : bool, optional, default=True
+        If True, plot topography on the map.
     cb_limits_dict : dict, optional
         A dictionary specifying the color bar limits for each intensity measure (IM). If None, limits will be automatically computed.
     n_procs : int, optional
@@ -276,7 +277,8 @@ def im_plots(
                 fault_trace,
                 None if cb_limits_dict is None else cb_limits_dict[im],
                 cur_out_dir / f"{im.replace('.', 'p')}_{rel_name}.png",
-                nz_map_data=nz_map_data,
+                plot_roads=plot_roads,
+                plot_topo=plot_topo,
             )
         # Multiple realisations
         else:
@@ -303,7 +305,8 @@ def im_plots(
                         fault_trace,
                         cb_limits,
                         cur_out_dir / f"{im.replace('.', 'p')}_{cur_rel}.png",
-                        nz_map_data=nz_map_data,
+                        plot_roads=plot_roads,
+                        plot_topo=plot_topo,
                     )
             else:
                 with mp.Pool(n_procs) as p:
@@ -322,7 +325,8 @@ def im_plots(
                                 fault_trace,
                                 cb_limits,
                                 cur_out_dir / f"{im.replace('.', 'p')}_{cur_rel}.png",
-                                nz_map_data,
+                                plot_roads,
+                                plot_topo,
                                 True,
                             )
                             for cur_rel in np.unique(data_df.rel)
@@ -335,10 +339,11 @@ def __gen_im_map(
     im: str,
     rel_name: str,
     hypo_loc: tuple[float, float],
-    fault_trace: np.ndarray,
-    cb_limits: Optional[tuple[float, float]],
+    fault_trace: np.ndarray | None,
+    cb_limits: tuple[float, float] | None,
     out_ffp: Path,
-    nz_map_data: plotting.NZMapData = None,
+    plot_roads: bool = False,
+    plot_topo: bool = True,
     mp: bool = False,
 ):
     """
@@ -360,8 +365,10 @@ def __gen_im_map(
         Tuple of (min, max) values for the color bar limits. If None, the limits will be automatically determined.
     out_ffp : Path
         Path to the output file where the generated map will be saved.
-    nz_map_data : plotting.NZMapData, optional
-        Data for New Zealand map generation. If None, no map will be overlaid.
+    plot_roads : bool, optional, default=False
+        If True, plot roads on the map.
+    plot_topo : bool, optional, default=True
+        If True, plot topography on the map.
     mp : bool, optional
         If True, enables multiprocessing features.
 
@@ -381,7 +388,8 @@ def __gen_im_map(
         rel_name,
         cb_limits=cb_limits,
         fault_trace=fault_trace,
-        nz_map_data=nz_map_data,
+        plot_roads=plot_roads,
+        plot_topo=plot_topo,
         hypo_loc=hypo_loc,
     )
     fig.savefig(str(out_ffp), dpi=1200)
@@ -397,7 +405,7 @@ def disagg_plot(
     plot_kwargs: dict | None = None,
     config_options: dict[str, Any] | None = None,
     verbose: bool = True,
-) -> None:
+) -> pygmt.Figure | None:
     """
     Creates a 3D disaggregation plot.
 
@@ -484,7 +492,7 @@ def disagg_plot(
     z_major_ticks_interval = max_contribution / 5
     z_minor_ticks_interval = max_contribution / 10
 
-    DEFAULT_PLOT_KWARGS = {
+    default_plot_kwargs = {
         "width_factor": 0.8,
         "zsize": "5c",
         "perspective": [150, 35],
@@ -493,12 +501,12 @@ def disagg_plot(
         "mag_major_tick": 0.5,
         "mag_minor_tick": 0.25,
     }
-    plot_kwargs = DEFAULT_PLOT_KWARGS | (plot_kwargs or {})
+    plot_kwargs = default_plot_kwargs | (plot_kwargs or {})
 
-    DEFAULT_CONFIG_OPTIONS = {
+    default_config_options = {
         "MAP_GRID_PEN_PRIMARY": "0.5p,black,-",
     }
-    config_options = DEFAULT_CONFIG_OPTIONS | (config_options or {})
+    config_options = default_config_options | (config_options or {})
 
     # Create the figure
     region = [
diff --git a/pygmt_helper/plotting.py b/pygmt_helper/plotting.py
index 3047841..b4ee426 100644
--- a/pygmt_helper/plotting.py
+++ b/pygmt_helper/plotting.py
@@ -4,10 +4,10 @@
 import itertools
 import re
 import tempfile
-from collections.abc import Callable, Sequence
+from collections.abc import Callable, Generator, Sequence
 from contextlib import contextmanager
 from pathlib import Path
-from typing import Any, Generator, NamedTuple, Optional, Self
+from typing import Any, NamedTuple, Self
 
 import geopandas
 import numpy as np
@@ -19,9 +19,10 @@
 import xarray as xr
 from pygmt.clib import Session
 from pyproj import Proj
-from qcore import coordinates, point_in_polygon
 from scipy import interpolate
 
+from qcore import coordinates, point_in_polygon
+
 GMT_DATA = pooch.create(
     pooch.os_cache("pygmt_helper"),
     base_url="",
@@ -101,17 +102,17 @@
 class NZMapData(NamedTuple):
     """New Zealand map data configuration."""
 
-    road_df: pd.DataFrame = None
-    highway_df: geopandas.GeoDataFrame = None
-    coastline_df: geopandas.GeoDataFrame = None
-    water_df: geopandas.GeoDataFrame = None
-    topo_grid: xr.DataArray = None
-    topo_shading_grid: xr.DataArray = None
+    road_df: pd.DataFrame
+    highway_df: geopandas.GeoDataFrame
+    coastline_df: geopandas.GeoDataFrame
+    water_df: geopandas.GeoDataFrame
+    topo_grid: xr.DataArray
+    topo_shading_grid: xr.DataArray
 
     @classmethod
     def load(
         cls,
-        region: tuple[float, float, float, float] = None,
+        region: tuple[float, float, float, float] | None = None,
         high_res_topo: bool = False,
     ) -> Self:
         """Load NZMapData.
@@ -171,36 +172,36 @@ def load(
         )
 
 
-DEFAULT_PLT_KWARGS = dict(
-    water_color="lightblue",
-    land_color="lightgray",
-    road_pen_width=0.01,
-    road_pen_color="white",
-    highway_pen_width=0.5,
-    highway_pen_color="yellow",
-    coastline_pen_width=0.05,
-    coastline_pen_color="black",
-    topo_cmap="gray",
-    topo_cmap_min=-3000,
-    topo_cmap_max=3000,
-    topo_cmap_inc=10,
-    topo_cmap_continous=False,
-    topo_cmap_reverse=True,
-    frame_args=["af", "xaf+lLongitude", "yaf+lLatitude"],
-)
+DEFAULT_PLT_KWARGS: dict[str, Any] = {
+    "water_color": "lightblue",
+    "land_color": "lightgray",
+    "road_pen_width": 0.01,
+    "road_pen_color": "white",
+    "highway_pen_width": 0.5,
+    "highway_pen_color": "yellow",
+    "coastline_pen_width": 0.05,
+    "coastline_pen_color": "black",
+    "topo_cmap": "gray",
+    "topo_cmap_min": -3000,
+    "topo_cmap_max": 3000,
+    "topo_cmap_inc": 10,
+    "topo_cmap_continous": False,
+    "topo_cmap_reverse": True,
+    "frame_args": ["af", "xaf+lLongitude", "yaf+lLatitude"],
+}
 
 
 def gen_region_fig(
-    title: Optional[str] = None,
+    title: str | None = None,
     region: tuple[float, float, float, float] | None = None,
     projection: str = "M17.0c",
     plot_roads: bool = False,
     plot_highways: bool = True,
     plot_topo: bool = True,
     high_res_topo: bool = False,
-    plot_kwargs: dict[str, Any] = None,
-    config_options: dict[str, Any] = None,
-    subtitle: Optional[str] = None,
+    plot_kwargs: dict[str, Any] | None = None,
+    config_options: dict[str, Any] | None = None,
+    subtitle: str | None = None,
     fig: pygmt.Figure | None = None,
     high_quality: bool = False,
     custom_shading_fn: (
@@ -319,7 +320,7 @@ def gen_region_fig(
     if title:
         fig.basemap(frame=title_args)
 
-    # Plot coastline
+    # Plot background land
     fig.plot(
         data=map_data.coastline_df,
         pen=f"{plot_kwargs['coastline_pen_width']}p,{plot_kwargs['coastline_pen_color']}",
@@ -390,6 +391,12 @@ def gen_region_fig(
     # Plot inland water
     fig.plot(data=map_data.water_df, fill=plot_kwargs["water_color"])
 
+    # Plot coastline
+    fig.plot(
+        data=map_data.coastline_df,
+        pen=f"{plot_kwargs['coastline_pen_width']}p,{plot_kwargs['coastline_pen_color']}",
+    )
+
     # Add roads
     if plot_roads:
         fig.plot(
@@ -530,7 +537,7 @@ def plot_grid(
         if plot_contours:
             fig.grdcontour(
                 annotation="-",
-                interval=cpt_ffp_ct,
+                levels=cpt_ffp_ct,
                 grid=grid,
                 limit=[cmap_limits[0], cmap_limits[1]],
                 pen="0.1p",
@@ -576,7 +583,8 @@ def create_grid(
         (min_lon, max_lon, min_lat, max_lat).
         If None, then create NZ-wide grid.
     interp_method : str
-        The interpolation method to apply between points in `data_df`. Must be one of `"CloughTorcher"`, `"nearest"` or `"linear"`.
+        The interpolation method to apply between points in `data_df`.
+        Must be one of `"CloughTorcher"`, `"nearest"` or `"linear"`.
     set_water_to_nan : bool
         If True, set water values in the grid to NaN.
     high_quality : bool, optional
@@ -653,7 +661,15 @@ def create_grid(
 
     # Change water values to nan
     if set_water_to_nan:
-        grid.values[~land_mask.astype(bool)] = np.nan
+        coast_mask, water_mask = get_coast_water_mask(
+            NZMapData.load(region=region),
+            np.stack((x2.flatten(), x1.flatten()), axis=1),
+        )
+
+        coast_mask = coast_mask.reshape(land_mask.shape)
+        water_mask = water_mask.reshape(land_mask.shape)
+
+        grid.values[~coast_mask | water_mask] = np.nan
 
     return grid
 
@@ -745,6 +761,59 @@ def on_land(
     return mask
 
 
+def get_coast_water_mask(
+    map_data: NZMapData,
+    points: np.ndarray,
+):
+    """
+    Returns two boolean masks indicating whether the given points are offshore,
+    in onshore water, or on land, based on the `map_data` coastline and water polygons.
+
+    Parameters
+    ----------
+    map_data : NZMapData
+        The map data containing coastline and water polygons.
+    points : np.ndarray
+        An array of points with shape (n_points, 2) where each row is [lat, lon].
+
+    Returns
+    -------
+    coast_mask: np.ndarray
+        A boolean array of the same length as `points`, where True indicates
+        that the point is on onshore and False indicates that it is offshore.
+    water_mask: np.ndarray
+        A boolean array of the same length as `points`, where True indicates
+        that the point is in onshore water (lakes, rivers) and False
+        indicates that it is not.
+    """
+    coastline_df = map_data.coastline_df.to_crs("EPSG:2193")
+    coastline_df["geometry"] = coastline_df.geometry.apply(
+        lambda geom: shapely.Polygon(geom.coords)
+    )
+
+    water_df = map_data.water_df.to_crs("EPSG:2193")
+    water_df["geometry"] = water_df.geometry.apply(
+        lambda geom: shapely.Polygon(geom.coords)
+    )
+
+    points_nztm = coordinates.wgs_depth_to_nztm(points)[:, ::-1]
+
+    coast_polygon = shapely.coverage_union_all(coastline_df.geometry)
+    shapely.prepare(coast_polygon)
+    water_polygon = shapely.coverage_union_all(water_df.geometry)
+    shapely.prepare(water_polygon)
+
+    coast_mask = shapely.contains_xy(
+        coast_polygon, points_nztm[:, 0], points_nztm[:, 1]
+    )
+
+    water_mask = shapely.contains_xy(
+        water_polygon, points_nztm[:, 0], points_nztm[:, 1]
+    )
+
+    return coast_mask, water_mask
+
+
 def get_landmask(
     map_data: NZMapData,
     region: tuple[float, float, float, float],
@@ -771,6 +840,7 @@ def get_landmask(
         A land mask grid where land points are set to 1
         and water points are set to NaN.
     """
+
     # Create a land mask grid for the specified region and grid spacing.
     land_mask = pygmt.grdlandmask(region=region, spacing=grid_spacing)
     land_mask[:] = 1
@@ -1136,7 +1206,7 @@ def grid_scale_for_region(region: tuple[float, float, float, float]) -> int:
     lat_km = (max_lat - min_lat) * 111
     lon_km = (max_lon - min_lon) * 111 * np.cos(np.radians((min_lat + max_lat) / 2))
     maximum_extent = max(lat_km, lon_km)
-    return int(round(max(5, 2.5 * maximum_extent)))
+    return round(max(5, 2.5 * maximum_extent))
 
 
 def clip_geometry(geometry: shapely.Geometry, grid: xr.DataArray) -> xr.DataArray:
diff --git a/pyproject.toml b/pyproject.toml
index 8e5840d..4dca66c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,23 +1,96 @@
 [build-system]
-requires = ["setuptools","setuptools-scm"]
+requires = ["setuptools", "setuptools-scm"]
 build-backend = "setuptools.build_meta"
 
 [project]
 name = "pygmt-helper"
-authors = [{name = "ucgmsim"}]
+authors = [{ name = "ucgmsim" }]
 description = "PyGMT helper package"
 readme = "ReadMe.md"
 requires-python = ">=3.12,<3.14"
-dynamic = ["version", "dependencies"]
+dynamic = ["version"]
+dependencies = [
+  "numpy",
+  "pandas",
+  "geopandas>1.0",
+  "pyarrow",
+  "pygmt>=0.16.0",
+  "pyproj",
+  "xarray",
+  "scipy",
+  "shapely>=2",
+  "qcore-utils",
+  "pooch",
+  "tqdm",
+  "netcdf4",
+]
+
+[project.optional-dependencies]
+test = ["pytest", "pytest-cov"]
+dev = ["ruff", "deptry", "ty"]
+examples = ["source-modelling"]
 
 [tool.setuptools_scm]
 
-[tool.setuptools.dynamic]
-dependencies = {file = ["requirements.txt"]}
+[tool.deptry]
+optional_dependencies_dev_groups = ["test", "dev"]
+
+[tool.deptry.per_rule_ignores]
+DEP002 = ["pyarrow", "netcdf4"]
+
+[tool.ty.src]
+exclude = ["pygmt_helper/examples/"]
 
 [tool.ruff]
 extend-exclude = ['pygmt_helper/examples/']
 
+[tool.ruff.lint]
+extend-select = [
+  # isort imports
+  "I",
+  # Use r'\s+' rather than '\s+'
+  "W605",
+  # All the naming errors, like using camel case for function names.
+  "N",
+  # Missing docstrings in classes, methods, and functions
+  "D101",
+  "D102",
+  "D103",
+  "D105",
+  "D107",
+  # Use f-string instead of a format call
+  "UP032",
+  # Standard library import is deprecated
+  "UP035",
+  # Missing function argument type-annotation
+  "ANN001",
+  # Using except without specifying an exception type to catch
+  "BLE001",
+]
+ignore = ["D104"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "numpy"
+
+[tool.ruff.lint.isort]
+known-first-party = [
+  "source_modelling",
+  "workflow",
+  "pygmt_helper",
+  "qcore",
+  "empirical",
+  "nshmdb",
+  "IM_calculation",
+  "mera",
+]
+
+[tool.ruff.lint.per-file-ignores]
+# Ignore no docstring in __init__.py
+"__init__.py" = ["D104"]
+# Ignore docstring errors in tests folder
+"tests/**.py" = ["D"]
+"**/test*.py" = ["D"]
+
 [tool.numpydoc_validation]
 checks = [
   "GL05",
@@ -37,7 +110,7 @@ checks = [
   "YD01",
 ]
 # remember to use single quotes for regex in TOML
-exclude = [  # don't report on objects that match any of these regex
-    '\.undocumented_method$',
-    '\.__repr__$',
+exclude = [ # don't report on objects that match any of these regex
+  '\.undocumented_method$',
+  '\.__repr__$',
 ]
diff --git a/requirements.txt b/requirements.txt
deleted file mode 100644
index 7c6af5c..0000000
--- a/requirements.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-numpy
-pandas
-geopandas>1.0
-pyarrow
-pygmt>=0.18.0
-pyproj
-xarray
-scipy
-shapely
-qcore-utils
-pytest
-pytest-cov
-pooch
-tqdm
-netcdf4
diff --git a/tests/test_plotting.py b/tests/test_plotting.py
index 7ea237d..dc8755f 100644
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@@ -1,3 +1,5 @@
+import geopandas
+import numpy as np
 import pandas as pd
 import pygmt
 import pytest
@@ -5,9 +7,11 @@
 import xarray as xr
 
 from pygmt_helper.plotting import (
+    NZMapData,
     clip,
     create_grid,
     gen_region_fig,
+    get_coast_water_mask,
     plot_grid,
 )
 
@@ -106,6 +110,37 @@ def test_plot_grid(data_df: pd.DataFrame):
     assert isinstance(fig, pygmt.Figure)
 
 
+@pytest.fixture
+def fake_map_data() -> NZMapData:
+    land_ring = shapely.LinearRing(
+        [(172, -44), (173, -44), (173, -43), (172, -43), (172, -44)]
+    )
+    lake_ring = shapely.LinearRing(
+        [(172.4, -43.6), (172.6, -43.6), (172.6, -43.4), (172.4, -43.4), (172.4, -43.6)]
+    )
+    return NZMapData(
+        road_df=pd.DataFrame(),
+        highway_df=geopandas.GeoDataFrame(),
+        coastline_df=geopandas.GeoDataFrame(geometry=[land_ring], crs="EPSG:4326"),
+        water_df=geopandas.GeoDataFrame(geometry=[lake_ring], crs="EPSG:4326"),
+        topo_grid=xr.DataArray(),
+        topo_shading_grid=xr.DataArray(),
+    )
+
+
+def test_get_coast_water_mask(fake_map_data: NZMapData):
+    points = np.array(
+        [
+            [-43.5, 171.5],  # offshore
+            [-43.8, 172.2],  # on land, not in lake
+            [-43.5, 172.5],  # in the lake
+        ]
+    )
+    coast_mask, water_mask = get_coast_water_mask(fake_map_data, points)
+    np.testing.assert_array_equal(coast_mask, [False, True, True])
+    np.testing.assert_array_equal(water_mask, [False, False, True])
+
+
 def test_clip():
     """Test that the clip context manager doesn't crash with a simple polygon."""
     # Create a simple rectangular polygon
diff --git a/uv.lock b/uv.lock
index 0413fba..ea1179f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,144 +1,191 @@
 version = 1
 revision = 3
 requires-python = ">=3.12, <3.14"
+resolution-markers = [
+    "python_full_version >= '3.13' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.13' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.13' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.13' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.13' and sys_platform == 'emscripten'",
+    "python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
 
 [[package]]
-name = "alphashape"
-version = "1.3.1"
+name = "annotated-doc"
+version = "0.0.5"
 source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "click" },
-    { name = "click-log" },
-    { name = "networkx" },
-    { name = "numpy" },
-    { name = "rtree" },
-    { name = "scipy" },
-    { name = "shapely" },
-    { name = "trimesh" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/2e/83/67ff905694df5b34a777123b59fdfd05998d5a31766f188aafbf5b340055/alphashape-1.3.1.tar.gz", hash = "sha256:7a27340afc5f8ed301577acec46bb0cf2bada5410045f7289142e735ef6977ec", size = 26316, upload-time = "2021-04-16T17:47:19.486Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/8e/38aa427ed5402449e226975b649c5dc73ccadfefeb95e6aecb8f8ea4b6b6/annotated_doc-0.0.5.tar.gz", hash = "sha256:c7e58ce09192557605d8bbd92836d7e1d520ac9580096042c0bfd197efacf1bb", size = 10758, upload-time = "2026-07-28T13:50:58.129Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e4/ad/77fad9d6f974ec58d837cb49fb9b483d6227a420c4f908c3578633de1d47/alphashape-1.3.1-py2.py3-none-any.whl", hash = "sha256:96a5ddd5f09534a35f03a8916aeeaac00fe4d6bec2f9ad78f87f57be3007f795", size = 13122, upload-time = "2021-04-16T17:47:17.773Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/30/e900b21425a860e195f32e37657aa1f7c7f2b1bfb26f03ca209b90933c06/annotated_doc-0.0.5-py3-none-any.whl", hash = "sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101", size = 5302, upload-time = "2026-07-28T13:50:57.239Z" },
 ]
 
 [[package]]
 name = "attrs"
-version = "25.3.0"
+version = "26.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/5a/b0/1367933a8532ee6ff8d63537de4f1177af4bff9f3e829baf7331f595bb24/attrs-25.3.0.tar.gz", hash = "sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b", size = 812032, upload-time = "2025-03-13T11:10:22.779Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/9a/8e/82a0fe20a541c03148528be8cac2408564a6c9a0cc7e9171802bc1d26985/attrs-26.1.0.tar.gz", hash = "sha256:d03ceb89cb322a8fd706d4fb91940737b6642aa36998fe130a9bc96c985eff32", size = 952055, upload-time = "2026-03-19T14:22:25.026Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl", hash = "sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3", size = 63815, upload-time = "2025-03-13T11:10:21.14Z" },
+    { url = "https://files.pythonhosted.org/packages/64/b4/17d4b0b2a2dc85a6df63d1157e028ed19f90d4cd97c36717afef2bc2f395/attrs-26.1.0-py3-none-any.whl", hash = "sha256:c647aa4a12dfbad9333ca4e71fe62ddc36f4e63b2d260a37a8b83d2f043ac309", size = 67548, upload-time = "2026-03-19T14:22:23.645Z" },
 ]
 
 [[package]]
-name = "black"
-version = "25.1.0"
+name = "beautifulsoup4"
+version = "4.15.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "click" },
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