|
| 1 | +""" |
| 2 | +Plotting features on a 3-D surface |
| 3 | +================================== |
| 4 | +
|
| 5 | +In addition to draping a dataset (grid or image) on top of a topographic surface, |
| 6 | +you may want to add additional features like coastlines, symbols, and text |
| 7 | +annotations. This tutorial shows how to use :meth:`pygmt.Figure.coast`, |
| 8 | +:meth:`pygmt.Figure.plot3d`, and :meth:`pygmt.Figure.text` to add these features |
| 9 | +on a 3-D surface created by :meth:`pygmt.Figure.grdview`. |
| 10 | +
|
| 11 | +This tutorial builds a 3-D map with additional features in four steps: |
| 12 | +
|
| 13 | +1. Creating a 3-D surface |
| 14 | +2. Adding coastlines on a 3-D surface |
| 15 | +3. Adding symbols on a 3-D surface |
| 16 | +4. Adding text annotations on a 3-D surface |
| 17 | +""" |
| 18 | + |
| 19 | +# %% |
| 20 | + |
| 21 | +import pandas as pd |
| 22 | +import pygmt |
| 23 | +from pygmt.params import Axis, Frame |
| 24 | + |
| 25 | +# %% |
| 26 | +# 1. Creating a 3-D surface |
| 27 | +# ------------------------- |
| 28 | +# |
| 29 | +# In the first step, we create a 3-D topographic map using :meth:`pygmt.Figure.grdview`. |
| 30 | +# We use a region around Taiwan to demonstrate adding features on a 3-D surface. |
| 31 | + |
| 32 | +# Define the study area in degrees East or North |
| 33 | +region_2d = [119, 123, 21, 26] # [lon_min, lon_max, lat_min, lat_max] |
| 34 | + |
| 35 | +# Download elevation grid for the study region with a resolution of 5 arc-minutes. |
| 36 | +grd_relief = pygmt.datasets.load_earth_relief(resolution="05m", region=region_2d) |
| 37 | + |
| 38 | +# Determine the 3-D region from the minimum and maximum values of the relief grid |
| 39 | +region_3d = [*region_2d, grd_relief.min().to_numpy(), grd_relief.max().to_numpy()] |
| 40 | + |
| 41 | +fig = pygmt.Figure() |
| 42 | + |
| 43 | +# Set up a colormap for topography and bathymetry that matches the grid range |
| 44 | +pygmt.makecpt( |
| 45 | + cmap="gmt/etopo1", |
| 46 | + series=[grd_relief.min().to_numpy(), grd_relief.max().to_numpy()], |
| 47 | +) |
| 48 | + |
| 49 | +# Create a 3-D surface |
| 50 | +fig.grdview( |
| 51 | + projection="M12c", # Mercator projection with a width of 12 cm |
| 52 | + region=region_3d, |
| 53 | + grid=grd_relief, |
| 54 | + cmap=True, |
| 55 | + surftype="surface", |
| 56 | + shading="+a0/270+ne0.6", |
| 57 | + perspective=[157.5, 30], # Azimuth and elevation for the 3-D plot |
| 58 | + zsize="1.5c", |
| 59 | + facade_fill="darkgray", |
| 60 | + frame=Frame(axes="wSnE", axis=Axis(annot=True, tick=True)), |
| 61 | +) |
| 62 | + |
| 63 | +# Add a colorbar |
| 64 | +fig.colorbar(perspective=True, annot=1000, tick=500, label="Elevation", unit="m") |
| 65 | + |
| 66 | +fig.show() |
| 67 | + |
| 68 | +# %% |
| 69 | +# 2. Adding coastlines on a 3-D surface |
| 70 | +# ------------------------------------- |
| 71 | +# |
| 72 | +# Next, we add coastlines using :meth:`pygmt.Figure.coast` with a matching |
| 73 | +# ``perspective`` setting. Here we set the z-level to 0 so coastlines are drawn |
| 74 | +# at sea level. |
| 75 | + |
| 76 | +# Add coastlines on top of the 3-D surface |
| 77 | +# Use an explicit perspective to match grdview (azimuth=157.5, elevation=30) |
| 78 | +# and set the z-level to 0 so the coastlines are drawn at sea level. |
| 79 | +fig.coast(perspective=[157.5, 30, 0], resolution="high", shorelines="1/1p,black") |
| 80 | + |
| 81 | +fig.show() |
| 82 | + |
| 83 | +# %% |
| 84 | +# 3. Adding symbols on a 3-D surface |
| 85 | +# ---------------------------------- |
| 86 | +# |
| 87 | +# In the third step, we add star symbols on top of the same 3-D map. To plot |
| 88 | +# symbols on a 3-D surface, use :meth:`pygmt.Figure.plot3d`. The z-coordinate should be |
| 89 | +# set to a value at or above the maximum elevation to ensure the symbols are visible. |
| 90 | +# Note that 3-D rendering in GMT/PyGMT uses a painter's algorithm (depth sorting) |
| 91 | +# rather than true 3-D occlusion. From some viewpoints, symbols that should be |
| 92 | +# hidden behind terrain may still appear visible. |
| 93 | + |
| 94 | +# Sample point data: five coastal cities around Taiwan |
| 95 | +cities = pd.DataFrame( |
| 96 | + { |
| 97 | + "longitude": [121.74, 121.61, 121.14, 120.30, 120.53], |
| 98 | + "latitude": [25.13, 23.99, 22.76, 22.63, 24.27], |
| 99 | + "name": ["Keelung", "Hualien", "Taitung", "Kaohsiung", "Taichung Port"], |
| 100 | + } |
| 101 | +) |
| 102 | + |
| 103 | +# Use one common z-level so all stars are drawn at the same height above the surface. |
| 104 | +cities["z"] = grd_relief.max().to_numpy() |
| 105 | + |
| 106 | +# Add five identical star symbols on top of the 3-D surface |
| 107 | +fig.plot3d( |
| 108 | + x=cities.longitude, |
| 109 | + y=cities.latitude, |
| 110 | + z=cities.z, |
| 111 | + style="a0.65c", |
| 112 | + fill="gold", |
| 113 | + pen="0.8p,black", |
| 114 | + perspective=True, |
| 115 | +) |
| 116 | + |
| 117 | +fig.show() |
| 118 | + |
| 119 | +# %% |
| 120 | +# 4. Adding text annotations on a 3-D surface |
| 121 | +# ------------------------------------------- |
| 122 | +# |
| 123 | +# In the final step, we add text labels to the same 3-D map. To add text |
| 124 | +# annotations on a 3-D surface, use :meth:`pygmt.Figure.text` with |
| 125 | +# ``perspective=True``. Note that the current implementation of ``text`` does not |
| 126 | +# support a ``z`` parameter for controlling the vertical position of text labels. |
| 127 | +# The text will be placed at the base of the 3-D plot (z=0). |
| 128 | + |
| 129 | +# Add text labels for cities |
| 130 | +# Note: text is placed at z=0 (base level) since z parameter is not yet supported |
| 131 | +fig.text( |
| 132 | + x=cities.longitude, |
| 133 | + y=cities.latitude, |
| 134 | + text=cities.name, |
| 135 | + perspective=True, |
| 136 | + font="11p,Times-Bold,red", |
| 137 | +) |
| 138 | + |
| 139 | +fig.show() |
| 140 | + |
| 141 | +# sphinx_gallery_thumbnail_number = 4 |
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