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Merged
weiji14 merged 4 commits into from
Jul 15, 2025
Merged

Set GMT_DATA_SERVER="Oceania" #42

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d90d699
Set GMT_DATA_SERVER="Oceania"
weiji14 Jul 13, 2025
2137270
Update image hash for figure 1
weiji14 Jul 13, 2025
a6c1801
Temporarily trigger Jupyter Book build on pull request
weiji14 Jul 13, 2025
794e3a7
Revert "Temporarily trigger Jupyter Book build on pull request"
weiji14 Jul 13, 2025
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2 changes: 1 addition & 1 deletion book/intro.md
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Expand Up @@ -15,7 +15,7 @@ tutorials for making maps 🗺️ and animations 🎦
:gutter: 1

:::{grid-item-card} Tutorial 1 - First figure 🚀 and Subplots / layout
:img-top: \_images/595c695c25a21e4711d8c268a368ef6fee13a6d9d7918e1ebdb92d8b0bbd4475.png
:img-top: \_images/c602786bf752e87289f43caedf9bfc40090944d450f721a51d8c952235fcc313.png
:link: ./tut01_firstfigure.html
by [Jing-Hui Tong](https://orcid.org/0009-0002-7195-3071)
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5 changes: 3 additions & 2 deletions book/tut03_spe_xarray.ipynb
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Expand Up @@ -80,7 +80,8 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's use a PyGMT function to explore an Xarray DataArray. We can use the [`pygmt.datasets.load_earth_relief`](https://www.pygmt.org/v0.13.0/api/generated/pygmt.datasets.load_earth_relief.html) function to load one of GMT's remote datasets. This will take longer the first time that it's run because GMT downloads the data from the GMT server. We'll specify the server in order to quicken download speeds to Washington, D.C., USA."
"Let's use a PyGMT function to explore an Xarray DataArray. We can use the [`pygmt.datasets.load_earth_relief`](https://www.pygmt.org/v0.13.0/api/generated/pygmt.datasets.load_earth_relief.html) function to load one of GMT's remote datasets. This will take longer the first time that it's run because GMT downloads the data from the GMT server.\n",
"You can specify the [`GMT_DATA_SERVER`](https://docs.generic-mapping-tools.org/6.5/gmt.conf.html#term-GMT_DATA_SERVER) in order to quicken download speeds to your location."
]
},
{
Expand All @@ -89,7 +90,7 @@
"metadata": {},
"outputs": [],
"source": [
"with pygmt.config(GMT_DATA_SERVER=\"NOAA\"):\n",
"with pygmt.config(GMT_DATA_SERVER=\"Oceania\"):\n",
" grid = pygmt.datasets.load_earth_relief(resolution=\"01d\")\n",
"grid"
]
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