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Source  : 839ac36
Branch  : main
Author  : Jon Jablonski <jonjab@ucsb.edu>
Time    : 2025-01-21 22:58:15 +0000
Message : Merge pull request #464 from jonjab/main

removing final reference to factors

Author: actions-user

07-vector-shapefile-attributes-in-r.md

@@ -308,7 +308,7 @@ there is only one feature? Let's adjust the colors used in our plot. If we have
 2 features in our vector object, we can plot each using a unique color by
 assigning a column name to the color aesthetic (`color =`). We use the syntax
 `aes(color = )` to do this. We can also alter the default line thickness by
-using the `size =` parameter, as the default value of 0.5 can be hard to see.
+using the `linewidth =` parameter, as the default value of 0.5 can be hard to see.
 Note that size is placed outside of the `aes()` function, as we are not
 connecting line thickness to a data variable.
 
@@ -427,7 +427,7 @@ In the examples above, `ggplot()` automatically selected colors for each line
 based on a default color order. If we don't like those default colors, we can
 create a vector of colors - one for each feature.
 
-First we will check how many unique levels our factor has:
+First we will check how many unique values our TYPE attribute has:
 
 
 ``` r
@@ -467,7 +467,7 @@ ggplot() +
 ### Adjust Line Width
 
 We adjusted line width universally earlier. If we want a unique line width for
-each level or attribute category in our spatial object, we can use the
+each attribute category in our spatial object, we can use the
 same syntax that we used for colors, above.
 
 We already know that we have four different `TYPE`s in the lines\_HARV object,
@@ -522,7 +522,7 @@ following thicknesses:
 
 ## Answers
 
-First we need to look at the levels of our factor to see
+First we need to look at the values of our data to see
 what order the road types are in:
 
 

md5sum.txt

@@ -10,7 +10,7 @@
 "episodes/04-raster-calculations-in-r.Rmd" "a100233c7c80bcae34c0112d10980d0d" "site/built/04-raster-calculations-in-r.md" "2024-12-10"
 "episodes/05-raster-multi-band-in-r.Rmd" "d5497625ea9f0fc04de5423d140bd655" "site/built/05-raster-multi-band-in-r.md" "2024-12-10"
 "episodes/06-vector-open-shapefile-in-r.Rmd" "9966d5678aea06e445f5b660a079482e" "site/built/06-vector-open-shapefile-in-r.md" "2024-12-10"
-"episodes/07-vector-shapefile-attributes-in-r.Rmd" "3249d2d16ddf2b972b9d9ae0f8509fe3" "site/built/07-vector-shapefile-attributes-in-r.md" "2025-01-21"
+"episodes/07-vector-shapefile-attributes-in-r.Rmd" "a7432ff6984af55f8dbcc42f020a5116" "site/built/07-vector-shapefile-attributes-in-r.md" "2025-01-21"
 "episodes/08-vector-plot-shapefiles-custom-legend.Rmd" "c2acd417a144f1b04b8d2f290dcbae63" "site/built/08-vector-plot-shapefiles-custom-legend.md" "2025-01-21"
 "episodes/09-vector-when-data-dont-line-up-crs.Rmd" "5cd99712be80af14d3e144ae0b46ee70" "site/built/09-vector-when-data-dont-line-up-crs.md" "2025-01-21"
 "episodes/10-vector-csv-to-shapefile-in-r.Rmd" "fe9f2056f24f9f54689143b27c8c3615" "site/built/10-vector-csv-to-shapefile-in-r.md" "2024-12-10"