corrections ch04

geocompx · Oct 11, 2024 · 8d2d873 · 8d2d873
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diff --git a/04-geometry-operations.qmd b/04-geometry-operations.qmd
@@ -1189,7 +1189,7 @@ The opposite operation, namely disaggregation, is when we increase the resolutio
 Either of the supported resampling methods (see @sec-raster-resampling) can be used.
 However, since we are not actually summarizing information but transferring the value of a large pixel into multiple small pixels, it makes sense to use either:
 
--   Nearest neighbor resampling (`rasterio.enums.Resampling.nearest`), when want to keep the original values as-is, since modifying them would be incorrect (such as in categorical rasters)
+-   Nearest neighbor resampling (`rasterio.enums.Resampling.nearest`), when we want to keep the original values as-is, since modifying them would be incorrect (such as in categorical rasters)
 -   Smoothing techniques, such as bilinear resampling (`rasterio.enums.Resampling.bilinear`), when we would like the smaller pixels to reflect gradual change between the original values, e.g., when the disaggregated raster is used for visualization purposes
 
 To disaggregate a raster, we go through exactly the same workflow as for aggregation, only using a different scaling factor, such as `factor=5` instead of `factor=0.2`, i.e., *increasing* the number of raster pixels instead of decreasing.
@@ -1293,7 +1293,7 @@ Possible arguments for `resampling` include:
 -   `rasterio.enums.Resampling.min`---Minimum
 -   `rasterio.enums.Resampling.max`---Maximum
 -   `rasterio.enums.Resampling.med`---Median
--   `rasterio.enums.Resampling.sum`---Median
+-   `rasterio.enums.Resampling.sum`---Sum
 
 Let's demonstrate resampling into a destination grid which is specified through numeric constraints, such as the extent and resolution.
 Again, these could have been specified manually (such as here), or obtained from a template raster metadata that we would like to match.

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