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Update 10-vector-csv-to-shapefile-in-r.Rmd #430

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8 changes: 4 additions & 4 deletions episodes/10-vector-csv-to-shapefile-in-r.Rmd
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Expand Up @@ -143,16 +143,16 @@ contain the information that helps us determine the CRS:
- `utmZone`: 18

In
[When Vector Data Don't Line Up - Handling Spatial Projection \& CRS in R](09-vector-when-data-dont-line-up-crs/)
[When Vector Data Don't Line Up - Handling Spatial Projection \& CRS in R](09-vector-when-data-dont-line-up-crs.html)
we learned about the components of a `proj4` string. We have everything we need
to assign a CRS to our data frame.

To create the `proj4` associated with UTM Zone 18 WGS84 we can look up the
projection on the
[Spatial Reference website](https://www.spatialreference.org/ref/epsg/wgs-84-utm-zone-18n/),
[Spatial Reference website](https://spatialreference.org/ref/epsg/32618/),
which contains a list of CRS formats for each projection. From here, we can
extract the
[proj4 string for UTM Zone 18N WGS84](https://www.spatialreference.org/ref/epsg/wgs-84-utm-zone-18n/proj4/).
[proj4 string for UTM Zone 18N WGS84](https://spatialreference.org/ref/epsg/32618/proj4.txt).

However, if we have other data in the UTM Zone 18N projection, it's much easier
to use the `st_crs()` function to extract the CRS in `proj4` format from that
Expand Down Expand Up @@ -212,7 +212,7 @@ ggplot() +
## Plot Extent

In
[Open and Plot Vector Layers in R](06-vector-open-shapefile-in-r/)
[Open and Plot Vector Layers in R](06-vector-open-shapefile-in-r.html)
we learned about spatial object extent. When we plot several spatial layers in
R using `ggplot`, all of the layers of the plot are considered in setting the
boundaries of the plot. To show this, let's plot our `aoi_boundary_HARV` object
Expand Down
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