require(tidyverse) require(sf) # Load admin polygons: oa11 <- st_read("./data/infuse_oa_lyr_2011.shp") # download 2011 LSOA polygons - level 2 lsoa11 <- st_read("./data/infuse_lsoa_lyr_2011.shp") # download local authorities data for whole UK - level 1 (least detailed) local_authorities <- st_read("data/infuse_dist_lyr_2011.shp") # Load buildings shapefile: buildings <- st_read("./data/OS_Open_Zoomstack_district_buildings.gpkg") # open country shapefiles countries <- st_read("data/infuse_ctry_2011.shp") # Generate simplified versions at 10m: oa11_simplified_10m <- st_simplify(oa11, dTolerance = 10) # 10 m lsoa11_simplified_10m <- st_simplify(lsoa11, dTolerance = 10) # 10 m local_authorities_simplified_10m <- st_simplify(local_authorities, dTolerance = 10) # 10 m countries_simplified_10m <- st_simplify(countries, dTolerance = 10) # 10 m st_write(oa11_simplified_10m, "data/infuse_oa_lyr_2011_simplified_10m.gpkg") st_write(lsoa11_simplified_10m, "data/infuse_lsoa_lyr_2011_simplified_10m.gpkg") st_write(local_authorities_simplified_10m, "data/infuse_dist_lyr_2011_simplified_10m.gpkg") st_write(countries_simplified_10m, "data/infuse_ctry_2011_simplified_10m.gpkg") # Generate simplified versions at 100m: oa11_simplified_100m <- st_simplify(oa11, dTolerance = 100) # 100 m lsoa11_simplified_100m <- st_simplify(lsoa11, dTolerance = 100) # 100 m local_authorities_simplified_100m <- st_simplify(local_authorities, dTolerance = 100) # 100 m countries_simplified_100m <- st_simplify(countries, dTolerance = 100) # 100 m st_write(oa11_simplified_100m, "data/infuse_oa_lyr_2011_simplified_100m.gpkg") st_write(lsoa11_simplified_100m, "data/infuse_lsoa_lyr_2011_simplified_100m.gpkg") st_write(local_authorities_simplified_100m, "data/infuse_dist_lyr_2011_simplified_100m.gpkg") st_write(countries_simplified_100m, "data/infuse_ctry_2011_simplified_100m.gpkg") ## Initial work on data with buildings shapefile for large scale visualation ----- # Create modest buffer around quite small building polygons for the sake of visualisation at # very large scale where small polygons can appear as points. Initial work in QGIS confirmed that 150m # will render coherent shapes at national zoom level after dissolving # Use union to dissolve and merge overlapping shapes buildings_buffer <- st_union(st_buffer(buildings,150)) # Write results to a file: st_write(buildings_buffer, "data/OS_Open_Zoomstack_district_buildings_buffered.gpkg") ## Process countries simplified shapefiles ----- # Generate a masking layer, based on difference between buffered buildings layer and admin shapefile # with filled space for unoccupied layers difference_ctry <- st_difference(countries_simplified_100m$geom, buildings_buffer) ## Write results to a file: st_write(difference_ctry, "data/infuse_ctry_2011_simplified_100_buildings_overlay_.gpkg") # Simplify layer difference_ctry_simplified = st_simplify(difference_ctry, dTolerance = 100) # 100 m st_write(difference_ctry_simplified, "data/infuse_ctry_2011_simplified_100_buildings_overlay_simplified.gpkg") # Invert polygons in this new layer inversion_ctry <- st_difference(difference_ctry, countries_simplified_100m$geom) # Write results to a file: st_write(inversion_ctry, "data/infuse_ctry_2011_simplified_100_buildings.gpkg") inversion_ctry_simplified = st_simplify(inversion_ctry, dTolerance = 100) # 100 m st_write(inversion_ctry_simplified, "data/infuse_ctry_2011_simplified_100_buildings_simplified.gpkg") ## Process local authorities simplified shapefiles ----- difference_la <- st_difference(local_authorities_simplified_100m$geom, buildings_buffer) ## Write results to a file: st_write(difference_la, "data/infuse_dist_lyr_2011_simplified_100_buildings_overlay.gpkg") # Simplify layer difference_simplified = st_simplify(difference_la, dTolerance = 100) # 100 m st_write(difference_simplified, "data/infuse_dist_lyr_2011_simplified_100_buildings_overlay_simplified.gpkg") # Invert polygons in this new layer inversion_la <- st_difference(difference_la, local_authorities_simplified_100m$geom) # Write results to a file: st_write(inversion_la, "data/infuse_dist_lyr_2011_simplified_100_buildings.gpkg") inversion_simplified_la = st_simplify(inversion_la, dTolerance = 100) # 100 m st_write(inversion_simplified_la, "data/infuse_dist_lyr_2011_simplified_100_buildings_simplified.gpkg") ## Process countries shapefile ----- difference_ctry <- st_difference(countries$geom, buildings_buffer) # Write results to a file: st_write(difference_ctry, "data/infuse_ctry_2011_buildings_overlay.gpkg") # Invert polygons in this new layer inversion <- st_difference(difference_ctry, countries$geom) # Write results to a file: st_write(inversion, "data/infuse_ctry_2011_buildings.gpkg") # Create simplified version: inversion_simplified = st_simplify(inversion, dTolerance = 100) # 100 m st_write(inversion_simplified, "data/infuse_ctry_2011_buildings_simplified.gpkg") ## Process local authorities shapefile ----- difference_la <- st_difference(local_authorities$geom, buildings_buffer) # Write results to a file: st_write(difference_la, "data/infuse_dist_lyr_2011_buildings_overlay.gpkg") # Invert polygons in this new layer inversion_la <- st_difference(difference_la, local_authorities$geom) # Write results to a file: st_write(inversion_la, "data/infuse_dist_lyr_2011_buildings.gpkg")