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Set GMT_DATA_SERVER="Oceania" (#42)
* Set GMT_DATA_SERVER="Oceania" The NOAA server appears to timeout for some reason. Also * Update image hash for figure 1
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book/intro.md

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@@ -15,7 +15,7 @@ tutorials for making maps 🗺️ and animations 🎦
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:gutter: 1
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:::{grid-item-card} Tutorial 1 - First figure 🚀 and Subplots / layout
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:img-top: \_images/595c695c25a21e4711d8c268a368ef6fee13a6d9d7918e1ebdb92d8b0bbd4475.png
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:img-top: \_images/c602786bf752e87289f43caedf9bfc40090944d450f721a51d8c952235fcc313.png
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:link: ./tut01_firstfigure.html
2020
by [Jing-Hui Tong](https://orcid.org/0009-0002-7195-3071)
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book/tut03_spe_xarray.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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."
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"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",
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"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."
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"with pygmt.config(GMT_DATA_SERVER=\"NOAA\"):\n",
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"with pygmt.config(GMT_DATA_SERVER=\"Oceania\"):\n",
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" grid = pygmt.datasets.load_earth_relief(resolution=\"01d\")\n",
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"grid"
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]

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