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05-raster-vector.qmd

@@ -440,7 +440,7 @@ Possible values other than `'mean'`, `'min'`, and `'max'` are:
 - `'majority'`---The most frequently occurring value
 - `'median'`---The median value
 
-See the [documentation](https://pythonhosted.org/rasterstats/manual.html#statistics) of `rasterstats.zonal_stats` for the complete list.
+See the documentation of `rasterstats.zonal_stats` for the complete list.
 Additionally, the `rasterstats.zonal_stats` function accepts user-defined functions for calculating any custom statistics.
 
 To count occurrences of categorical raster values within polygons (@fig-raster-extract-to-polygon (b)), we can use masking (@sec-raster-cropping) combined with `np.unique`, as follows.
@@ -502,9 +502,11 @@ The default `merge_alg=rasterio.enums.MergeAlg.replace` means that "later" value
 The other option `merge_alg=rasterio.enums.MergeAlg.add` means that burned values are summed, i.e., the pixel gets the sum of all burned values.
 
 When rasterizing lines and polygons, we also have the choice between two pixel-matching algorithms. 
-The default, `all_touched=False`, implies pixels that are selected by [Bresenham's line algorithm](https://en.wikipedia.org/wiki/Bresenham%27s_line_algorithm) (for lines) or pixels whose center is within the polygon (for polygons).
+The default, `all_touched=False`, implies pixels that are selected by Bresenham's line algorithm[^bresenham] (for lines) or pixels whose center is within the polygon (for polygons).
 The other option `all_touched=True`, as the name suggests, implies that all pixels intersecting with the geometry are matched.
 
+[^bresenham]: [https://en.wikipedia.org/wiki/Bresenham%27s_line_algorithm](https://en.wikipedia.org/wiki/Bresenham%27s_line_algorithm)
+
 Finally, we can set the `fill` value, which is the value that "unaffected" pixels get, with `fill=0` being the default.
 
 How the `rasterio.features.rasterize` function works with all of these various parameters will be made clear in the next examples.
@@ -937,8 +939,8 @@ Unfortunately, **rasterio** does not provide any way of extracting the contour l
 
 There are two possible workarounds:
 
-1. Using `gdal_contour` on the [command line](https://gdal.org/programs/gdal_contour.html) (see below), or through its Python interface [**osgeo**](https://gis.stackexchange.com/questions/360431/how-can-i-create-contours-from-geotiff-and-python-gdal-rasterio-etc-into-sh)
-2. Writing a custom function to export contour coordinates generated by, e.g., [**matplotlib**](https://www.tutorialspoint.com/how-to-get-coordinates-from-the-contour-in-matplotlib) or [**skimage**](https://gis.stackexchange.com/questions/268331/how-can-i-extract-contours-from-a-raster-with-python)
+1. Using `gdal_contour` on the command line (see below), or through its Python interface **osgeo**
+2. Writing a custom function to export contour coordinates generated by, e.g., **matplotlib** or **skimage**
 
 We demonstrate the first approach, using `gdal_contour`.
 Although we deviate from the Python-focused approach towards more direct interaction with GDAL, the benefit of `gdal_contour` is the proven algorithm, customized to spatial data, and with many relevant options.

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