Figure 6: GeoPandas / spatial data - choropleth map - area with rivers and cities of the states of the USA (#6)

Co-authored-by: Dongdong Tian <seisman.info@gmail.com>
Co-authored-by: Michael Grund <23025878+michaelgrund@users.noreply.github.com>

Author: 3 people

Fig6_PyGMT_geopandas.ipynb

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+{
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+   "cell_type": "code",
+   "execution_count": null,
+   "id": "760146f6-d4c9-4e69-b539-f42e057c7945",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import geopandas as gpd\n",
+    "import pygmt\n",
+    "\n",
+    "provider = \"https://naciscdn.org/naturalearth\"\n",
+    "states = gpd.read_file(f\"{provider}/50m/cultural/ne_50m_admin_1_states_provinces.zip\")\n",
+    "rivers = gpd.read_file(f\"{provider}/50m/physical/ne_50m_rivers_lake_centerlines.zip\")\n",
+    "cities = gpd.read_file(f\"{provider}/110m/cultural/ne_110m_populated_places_simple.zip\")\n",
+    "\n",
+    "states = states[states[\"admin\"] == \"United States of America\"]\n",
+    "rivers = rivers[rivers.intersects(states.union_all())]\n",
+    "cities = cities[cities[\"adm0name\"] == \"United States of America\"]\n",
+    "\n",
+    "states[\"area\"] = states.to_crs(epsg=6933).area / 10 ** 9\n",
+    "\n",
+    "fig = pygmt.Figure()\n",
+    "fig.basemap(projection=\"L-96/35/33/41/12c\", region=[-126, -66, 25, 49], frame=\"+n\")\n",
+    "\n",
+    "pygmt.makecpt(cmap=\"hawaii\", series=[0, states[\"area\"].max()], reverse=True)\n",
+    "fig.plot(data=states, cmap=True, pen=\"0.2p,gray50\", fill=\"+z\", aspatial=\"Z=area\")\n",
+    "fig.colorbar(frame=\"xaf+lArea (1000 km@+2@+)\", position=\"jRB+o1.9c/0.2c+w3c/0.15c+ml\")\n",
+    "\n",
+    "fig.plot(data=rivers, pen=\"0.5p,dodgerblue4\")\n",
+    "\n",
+    "fig.plot(data=cities, style=\"s0.17c\", fill=\"darkorange\", pen=\"0.5p\")\n",
+    "fig.text(\n",
+    "    x=cities.geometry.x,\n",
+    "    y=cities.geometry.y,\n",
+    "    text=cities[\"name\"],\n",
+    "    offset=\"0.35c/0.2c\",\n",
+    "    justify=\"BC\",\n",
+    "    font=\"4.5p,Helvetica-Bold\",\n",
+    "    fill=\"white@30\",\n",
+    "    pen=\"0.2p,darkorange\",\n",
+    "    clearance=\"0.05c+tO\",\n",
+    ")\n",
+    "\n",
+    "# Add the states Alaska and Hawaii separately in the lower left corner\n",
+    "for name, xshift in zip([\"Alaska\", \"Hawaii\"], [\"1.2c\", \"2.8c\"]):\n",
+    "    substate = states[(states[\"name\"] == name)]\n",
+    "    substate = substate.explode()\n",
+    "    substate = substate[substate.to_crs(epsg=6933).area > 1.0e8].dissolve()\n",
+    "    region = pygmt.info(substate, spacing=1)\n",
+    "    with fig.shift_origin(xshift=xshift):\n",
+    "        fig.plot(\n",
+    "            data=substate,\n",
+    "            region=region,\n",
+    "            projection=\"M2c\",\n",
+    "            cmap=True,\n",
+    "            pen=\"0.2p,gray50\",\n",
+    "            fill=\"+z\",\n",
+    "            aspatial=\"Z=area\",\n",
+    "        )\n",
+    "\n",
+    "fig.show()\n",
+    "# fig.savefig(fname=\"Fig6_PyGMT_geopandas.png\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "456f81ee-f666-4d2d-9147-290040583447",
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