chore: typos and other minor fixes

Author: jo-mueller

docs/source/advanced/build_custom_pyramid.ipynb

@@ -131,7 +131,7 @@
       "id": "9a086164",
       "metadata": {},
       "source": [
-        "You can use one of these functions for downsampling by passing the method name as a string to the writer function, e.g. `method=\"mean\"` or `method=\"resize\"`, i.e.:"
+        "You can use one of these functions for downsampling by passing the method name as a string to the writer function, e.g. `method=\"local_mean\"` or `method=\"resize\"`, i.e.:"
       ]
     },
     {
@@ -169,7 +169,7 @@
         "```{warning}\n",
         "\n",
         "The choice of the correct downsampling function is typically of secondary importance,\n",
-        "*unless* your data spoeciufically requires a certain method.\n",
+        "*unless* your data specifically requires a certain method.\n",
         "\n",
         "For instance, when writing categorical data (i.e., segmentations or generally labels),\n",
         "you will want to use a method that preserves the label values, such as {py:func}`ome_zarr.scale.Methods.NEAREST`.\n",

docs/source/basic/write_labels.ipynb

@@ -83,15 +83,15 @@
         "\n",
         "```\n",
         "test_ngff_image_with_labels.zarr\n",
-        "\u251c\u2500\u2500 zarr.json\n",
-        "\u251c\u2500\u2500 labels\n",
-        "\u2502   \u251c\u2500\u2500 .zarr.json\n",
-        "\u2502   \u2514\u2500\u2500 blobs\n",
-        "|       \u251c\u2500\u2500 .zarr.json\n",
-        "|       \u251c\u2500\u2500 s0\n",
-        "|       \u2514\u2500\u2500 s1\n",
-        "\u251c\u2500\u2500 s0\n",
-        "\u2514\u2500\u2500 s1\n",
+        "├── zarr.json\n",
+        "├── labels\n",
+        "│   ├── zarr.json\n",
+        "│   └── blobs\n",
+        "|       ├── .zarr.json\n",
+        "|       ├── s0\n",
+        "|       └── s1\n",
+        "├── s0\n",
+        "└── s1\n",
         "```"
       ]
     },

docs/source/explanation/multiscale_pyramids.md

@@ -32,12 +32,12 @@ Different downsampling methods are appropriate for different data types:
 
 | Method | Use Case |
 |--------|----------|
-| `gaussian` | General intensity images |
-| `nearest` | Categorical data (labels, segmentations) |
-| `mean` | Averaging for smoother results |
-| `resize` | Fast skimage-based resizing |
+|`ome_zarr.scale.Methods.resize` | Fast skimage-based resizing |
+| `ome_zarr.scale.Methods.nearest` | Categorical data (labels, segmentations) |
+| `ome_zarr.scale.Methods.zoom` | Downsampling using the [scipy zoom function](https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.zoom.html#scipy.ndimage.zoom) |
+| `ome_zarr.scale.Methods.local_mean` | Local averaging for smoother results |
 
-See {py:class}`ome_zarr.scale.Methods` for available options.
+See {py:class}`ome_zarr.scale.Methods` for all available options and more details.
 
 ## Resources