Fix typos in C5 and C6

05-geometry-operations.Rmd

@@ -559,7 +559,7 @@ A variety of georeferencing techniques exist, including:
 
 - Georectification based on known [ground control points](https://www.qgistutorials.com/en/docs/3/georeferencing_basics.html);
 - Orthorectification, which also accounts for local topography
-- Image [registration](https://en.wikipedia.org/wiki/Image_registration) is used to combine images of the same thing but shot from different sensors the process of aligning one image with another (in terms of coordinate system, and resolution)
+- Image [registration](https://en.wikipedia.org/wiki/Image_registration) is used to combine images of the same thing but shot from different sensors by aligning one image with another (in terms of coordinate system and resolution)
 
 R is rather unsuitable for the first two points since these often require manual intervention which is why they are usually done with the help of dedicated GIS software (see also Chapter \@ref(gis)).
 On the other hand, aligning several images is possible in R and this section shows among others how to do so.
@@ -829,7 +829,7 @@ We will use two objects to illustrate raster cropping:
 - A vector (`sf`) object `zion` representing Zion National Park.
 
 Both target and cropping objects must have the same projection.
-The following code chunk therefore not only reads the datasets from the **spDataLarge** package9 installed in Chapter \@ref(spatial-class)), it also reprojects `zion` (see Section \@ref(reproj-geo-data) for more on reprojection):
+The following code chunk therefore not only reads the datasets from the **spDataLarge** package (installed in Chapter \@ref(spatial-class)), it also reprojects `zion` (see Section \@ref(reproj-geo-data) for more on reprojection):
 
 ```{r 05-geometry-operations-43, results='hide'}
 srtm = rast(system.file("raster/srtm.tif", package = "spDataLarge"))
@@ -1269,4 +1269,4 @@ source("https://github.com/Robinlovelace/geocompr/raw/main/code/05-raster-vector
 ```{r, echo=FALSE, results='asis'}
 res = knitr::knit_child('_05-ex.Rmd', quiet = TRUE, options = list(include = FALSE, eval = FALSE))
 cat(res, sep = '\n')
-```
+```

06-reproj.Rmd

@@ -140,7 +140,7 @@ st_distance(london_geo, london_proj)
 
 To make the `london` and `london_proj` objects geographically comparable one of them must be transformed into the CRS of the other.
 But which CRS to use?
-The answer is usually 'to the projected CRS', which in this case is the British National Grid (EPSG:27700):
+The answer is usually 'the projected CRS', which in this case is the British National Grid (EPSG:27700):
 
 ```{r 06-reproj-10}
 london2 = st_transform(london_geo, 27700)