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https://github.com/kidwellj/uk_census_shapes_clipped.git
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more coherent variable names
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parent
3b48a6639e
commit
3180a86ee7
101
script.R
101
script.R
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@ -12,35 +12,84 @@ buildings <- st_read("./data/OS_Open_Zoomstack_district_buildings.gpkg")
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# open country shapefiles
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countries <- st_read("data/infuse_ctry_2011.shp")
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# Create modest buffer around quite small building polygons for the sake of visualisation at very large scale where small polygons can appear as points
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buffer <- st_buffer(buildings,150)
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# Dissolve and merge overlapping shapes
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union <- st_union(buffer)
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# Generate a masking layer, with filled space for unoccupied layers
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difference <- st_difference(local_authorities$geom, union)
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# Write results to a file:
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st_write(difference, "data/local_authorities_cropped_union_buffer_150.gpkg")
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# Invert polygons in this new layer
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inversion <- st_difference(local_authorities$geom, difference)
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# Write results to a file:
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st_write(inversion, "data/local_authorities_cropped_union_buffer_150_inverted.gpkg")
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# Create simplified version:
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inversion_simplified = st_simplify(inversion, dTolerance = 150) # 150 m
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st_write(inversion_simplified, "data/local_authorities_cropped_union_buffer_150_inverted_simplified.gpkg")
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# Generate simplified versions at 10m:
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oa11_simplified_10m <- st_simplify(oa11, dTolerance = 10) # 10 m
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lsoa11_simplified_10m <- st_simplify(lsoa11, dTolerance = 10) # 10 m
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local_authorities_simplified_10m <- st_simplify(local_authorities, dTolerance = 10) # 10 m
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countries_simplified_10m <- st_simplify(countries, dTolerance = 10) # 10 m
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st_write(oa11_simplified_10m, "data/infuse_oa_lyr_2011_simplified_10m.gpkg")
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st_write(lsoa11_simplified_10m, "data/infuse_lsoa_lyr_2011_simplified_10m.gpkg")
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st_write(local_authorities_simplified_10m, "data/infuse_dist_lyr_2011_simplified_10m.gpkg")
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st_write(countries_simplified_10m, "data/infuse_ctry_2011_simplified_10m.gpkg")
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# Create modest buffer around quite small building polygons for the sake of visualisation at very large scale where small polygons can appear as points
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buffer <- st_buffer(buildings,150)
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# Dissolve and merge overlapping shapes
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union <- st_union(buffer)
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# Generate a masking layer, with filled space for unoccupied layers
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difference <- st_difference(countries$geom, union)
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# Generate simplified versions at 100m:
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oa11_simplified_100m <- st_simplify(oa11, dTolerance = 100) # 100 m
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lsoa11_simplified_100m <- st_simplify(lsoa11, dTolerance = 100) # 100 m
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local_authorities_simplified_100m <- st_simplify(local_authorities, dTolerance = 100) # 100 m
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countries_simplified_100m <- st_simplify(countries, dTolerance = 100) # 100 m
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st_write(oa11_simplified_100m, "data/infuse_oa_lyr_2011_simplified_100m.gpkg")
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st_write(lsoa11_simplified_100m, "data/infuse_lsoa_lyr_2011_simplified_100m.gpkg")
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st_write(local_authorities_simplified_100m, "data/infuse_dist_lyr_2011_simplified_100m.gpkg")
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st_write(countries_simplified_100m, "data/infuse_ctry_2011_simplified_100m.gpkg")
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## Initial work on data with buildings shapefile for large scale visualation -----
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# Create modest buffer around quite small building polygons for the sake of visualisation at
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# very large scale where small polygons can appear as points. Initial work in QGIS confirmed that 150m
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# will render coherent shapes at national zoom level after dissolving
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# Use union to dissolve and merge overlapping shapes
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buildings_buffer <- st_union(st_buffer(buildings,150))
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# Write results to a file:
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st_write(difference, "data/countries_cropped_union_buffer_150.gpkg")
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st_write(buildings_buffer, "data/OS_Open_Zoomstack_district_buildings_buffered.gpkg")
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## Process countries simplified shapefiles -----
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# Generate a masking layer, based on difference between buffered buildings layer and admin shapefile
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# with filled space for unoccupied layers
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difference_ctry <- st_difference(countries_simplified_100m$geom, buildings_buffer)
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## Write results to a file:
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st_write(difference_ctry, "data/infuse_ctry_2011_simplified_100_buildings_overlay_.gpkg")
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# Simplify layer
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difference_ctry_simplified = st_simplify(difference_ctry, dTolerance = 100) # 100 m
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st_write(difference_ctry_simplified, "data/infuse_ctry_2011_simplified_100_buildings_overlay_simplified.gpkg")
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# Invert polygons in this new layer
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inversion <- st_difference(countries$geom, difference)
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inversion_ctry <- st_difference(difference_ctry, countries_simplified_100m$geom)
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# Write results to a file:
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st_write(inversion, "data/countries_cropped_union_buffer_150_inverted.gpkg")
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st_write(inversion_ctry, "data/infuse_ctry_2011_simplified_100_buildings.gpkg")
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inversion_ctry_simplified = st_simplify(inversion_ctry, dTolerance = 100) # 100 m
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st_write(inversion_ctry_simplified, "data/infuse_ctry_2011_simplified_100_buildings_simplified.gpkg")
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## Process local authorities simplified shapefiles -----
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difference_la <- st_difference(local_authorities_simplified_100m$geom, buildings_buffer)
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## Write results to a file:
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st_write(difference_la, "data/infuse_dist_lyr_2011_simplified_100_buildings_overlay.gpkg")
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# Simplify layer
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difference_simplified = st_simplify(difference_la, dTolerance = 100) # 100 m
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st_write(difference_simplified, "data/infuse_dist_lyr_2011_simplified_100_buildings_overlay_simplified.gpkg")
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# Invert polygons in this new layer
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inversion_la <- st_difference(difference_la, local_authorities_simplified_100m$geom)
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# Write results to a file:
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st_write(inversion_la, "data/infuse_dist_lyr_2011_simplified_100_buildings.gpkg")
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inversion_simplified_la = st_simplify(inversion_la, dTolerance = 100) # 100 m
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st_write(inversion_simplified_la, "data/infuse_dist_lyr_2011_simplified_100_buildings_simplified.gpkg")
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## Process countries shapefile -----
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difference_ctry <- st_difference(countries$geom, buildings_buffer)
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# Write results to a file:
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st_write(difference_ctry, "data/infuse_ctry_2011_buildings_overlay.gpkg")
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# Invert polygons in this new layer
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inversion <- st_difference(difference_ctry, countries$geom)
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# Write results to a file:
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st_write(inversion, "data/infuse_ctry_2011_buildings.gpkg")
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# Create simplified version:
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inversion_simplified = st_simplify(inversion, dTolerance = 150) # 2000 m
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st_write(inversion_simplified, "data/countries_cropped_union_buffer_150_inverted_simplified.gpkg")
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inversion_simplified = st_simplify(inversion, dTolerance = 100) # 100 m
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st_write(inversion_simplified, "data/infuse_ctry_2011_buildings_simplified.gpkg")
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## Process local authorities shapefile -----
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difference_la <- st_difference(local_authorities$geom, buildings_buffer)
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# Write results to a file:
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st_write(difference_la, "data/infuse_dist_lyr_2011_buildings_overlay.gpkg")
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# Invert polygons in this new layer
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inversion_la <- st_difference(difference_la, local_authorities$geom)
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# Write results to a file:
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st_write(inversion_la, "data/infuse_dist_lyr_2011_buildings.gpkg")
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