diff --git a/book/intro.md b/book/intro.md index b2b6bcd..dc135e6 100644 --- a/book/intro.md +++ b/book/intro.md @@ -15,7 +15,7 @@ tutorials for making maps πŸ—ΊοΈ and animations 🎦 :gutter: 1 :::{grid-item-card} Tutorial 1 - First figure πŸš€ 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) +++ diff --git a/book/tut03_spe_xarray.ipynb b/book/tut03_spe_xarray.ipynb index 21c2d33..5528660 100644 --- a/book/tut03_spe_xarray.ipynb +++ b/book/tut03_spe_xarray.ipynb @@ -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." ] }, { @@ -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" ]