kidwellj/hacking_religion_textbook
1
0
Fork 0
mirror of https://github.com/kidwellj/hacking_religion_textbook.git synced 2024-11-01 01:12:20 +00:00
Code Issues Packages Projects Releases Wiki Activity

adding further notes for expansion

Browse source
This commit is contained in:
Jeremy Kidwell 2024-02-29 19:28:29 +00:00
parent c4eb678555
commit 29fdadabf7
1 changed files with 11 additions and 9 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

20
hacking_religion/chapter_3.qmd
View file

@ -211,7 +211,15 @@ If we're looking for visual outliers, e.g. places where there are more or less o
# tm_fill(fill = "churches_count", title = "Concentration of churches") # tm_fill(fill = "churches_count", title = "Concentration of churches")
``` ```
If you want to keep the same polygons, we can also normalise using population data. This will require us to import some data to our dataframe as the admin polygon shapefiles provided by the UK government don't have population figures in them. If you want to keep the same polygons, we can also normalise using population data. This will require us to import some data to our dataframe as the admin polygon shapefiles provided by the UK government don't have population figures in them. Cf. mapping_draft lines 303 onwards.
Demonstrate how to add inset map for dense urban area.
Engage with geospatial demographic data: urban-rural scale, census with OAs, SIMD.
Engage with geospatial environmental data: proximity to wilderness areas, fracking sites
Demonstrate buffers
```{r} ```{r}
``` ```
@ -224,11 +232,11 @@ But I wonder if it's more interesting to compare this type of building, e.g. a p
os_openmap_important_buildings <- st_read(here("example_data", "os_openmap_important_buildings.gpkg"), quiet = TRUE) os_openmap_important_buildings <- st_read(here("example_data", "os_openmap_important_buildings.gpkg"), quiet = TRUE)
# add pubs, check_cashing, pawnbrokers, SSSI # add pubs, check_cashing, pawnbrokers, SSSI; cf mapping_Draft lines 1083 onwards
## subsets ## subsets
``` ```
Get data from openstreetmaps project, compare counts to ordnance survey, show side-by-side map comparison plots. Demonstrate use of bounding box.
```{r} ```{r}
# OSM # OSM
@ -282,14 +290,8 @@ rest_plot <- street_plot +
theme_void() # remove gray background theme_void() # remove gray background
# Print map # Print map
rest_plot rest_plot
bbox_brum <- getbb(place_name = "Birmingham", format_out = "sf_polygon")
tm_shape(bb) + tm_borders()
``` ```
1. Count the number of churches in Local Authorities
## References {.unnumbered} ## References {.unnumbered}