Fix broken links in browser - Grids

Even though some Jupyter notebook readers will handle these links fine, they do
not work when transformed to HTML and rendered in browsers.

This patch fixes them so that they can be used in the browser too.

Signed-off-by: adamjhawley <[email protected]>

examples/user_guide/5_Grids.ipynb

@@ -8,7 +8,7 @@
     "\n",
     "In some cases, your data is *already* rasterized, such as data from imaging experiments, simulations on a regular grid, or other regularly sampled processes. Even so, the rasters you have already are not always the ones you need for a given purpose, having the wrong shape, range, or size to be suitable for overlaying with or comparing against other data, maps, and so on. Datashader provides fast methods for [\"regridding\"](https://climatedataguide.ucar.edu/climate-data-tools-and-analysis/regridding-overview)/[\"re-sampling\"](http://gisgeography.com/raster-resampling/)/\"re-rasterizing\" your regularly gridded datasets, generating new rasters on demand that can be used together with those it generates for any other data types. Rasterizing into a common grid can help you implement complex cross-datatype analyses or visualizations. \n",
     "\n",
-    "In other cases, your data is stored in a 2D array similar to a raster, but represents values that are not regularly sampled in the underlying coordinate space. Datashader also provides fast methods for rasterizing these more general rectilinear or curvilinear grids, known as [quadmeshes](#Quadmesh-Rasterization) as described later below. Fully arbitrary unstructured grids ([Trimeshes](Trimesh.ipynb)) are discussed separately.\n",
+    "In other cases, your data is stored in a 2D array similar to a raster, but represents values that are not regularly sampled in the underlying coordinate space. Datashader also provides fast methods for rasterizing these more general rectilinear or curvilinear grids, known as [quadmeshes](#quadmesh-Rasterization) as described later below. Fully arbitrary unstructured grids ([Trimeshes](Trimesh.ipynb)) are discussed separately.\n",
     "\n",
     "## Re-rasterization\n",
     "\n",
@@ -60,7 +60,7 @@
    "source": [
     "## Interpolation (upsampling)\n",
     "\n",
-    "So, what if we want a larger version?  We can do that with the Datashader `Canvas.raster` method. Note that `Canvas.raster` only supports regularly spaced rectilinear, 2D or 3D ``DataArray``s, and so will not accept the additional dimensions or non-separable coordinate arrays that xarray allows (for which see [Quadmesh](#Quadmesh-rasterization), below). Also see the Quadmesh docs below if you want to use a [GPU](https://datashader.org/user_guide/Performance.html#Data-objects) for processing your raster data, because the Datashader `Canvas.raster` implementation does not yet support GPU arrays.\n",
+    "So, what if we want a larger version?  We can do that with the Datashader `Canvas.raster` method. Note that `Canvas.raster` only supports regularly spaced rectilinear, 2D or 3D ``DataArray``s, and so will not accept the additional dimensions or non-separable coordinate arrays that xarray allows (for which see [Quadmesh](#quadmesh-rasterization), below). Also see the Quadmesh docs below if you want to use a [GPU](https://datashader.org/user_guide/Performance.html#Data-objects) for processing your raster data, because the Datashader `Canvas.raster` implementation does not yet support GPU arrays.\n",
     "\n",
     "Assuming you are ready to use `Canvas.raster`, let's try upsampling with either nearest-neighbor or bilinear interpolation (the default):"
    ]