kidwellj/mapping_environmental_action
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Jeremy Kidwell 2019-01-26 00:50:38 +00:00
parent 554fb683e9
commit 0f8c847fca
1 changed files with 8 additions and 7 deletions
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15
mapping_draft.Rmd
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@ -283,10 +283,9 @@ Perhaps the first important question to ask of these groups is, where are they?
# Row 1 plot using polygons from admin_lev1 and row 2 plot using ploygons from admin_lev2
# 3. Need to clip choropleth polygons to buildings shapefile
plot(admin_lev1)
myplot <- ggplot() + geom_sf(data = admin_lev1_sf) + geom_point(data=as.data.frame(ecs), aes(x=X, y=Y))
# + geom_point(data=as.data.frame(ecs), aes(x=X, y=Y))
admin_lev1_gathered <- gather(admin_lev1_sf, value="number", ecs_count)
myplot <- ggplot() + geom_sf(data = admin_lev1_gathered) + geom_point(data=as.data.frame(ecs), aes(x=X, y=Y))
ggsave("figures/admin_choropleth_ecs.pdf")
```
@ -313,16 +312,18 @@ Whereas our initial measurements indicated a prominent lead for Edinburgh, by no
```{r create_admin_barplot}
# comvert admin back to dataframe for analysis
admin.df <- data.frame(admin_lev1)
admin.df_gathered <- gather(admin.df, key = "name", convert = TRUE)
admin.df<-data.frame(admin_lev1)
# Goal here is to generate a grouped bar plot; https://www.r-graph-gallery.com/48-grouped-barplot-with-ggplot2/
# Need to flatten admin_lev1 based on all the count columns and generate using ggplot
admin.df_gathered <- gather(admin.df, key="group_type", value="number", ecs_count, transition_count, dtas_count)
ggplot(admin.df_gathered, aes(fill=group_type, y=number, x=name)) +
geom_bar(position="dodge", stat="identity")
geom_bar(position="dodge", stat="identity") + coord_flip()
# ggplot(mtcars, aes(x=as.factor(cyl), fill=as.factor(cyl) )) +
geom_bar() +
coord_flip()
```