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https://github.com/kidwellj/uk_census_shapes_clipped.git
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added st_simplify
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14
script.R
14
script.R
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@ -3,15 +3,14 @@ require(sf)
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# Load admin polygons:
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# Load admin polygons:
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oa11 <- st_read("./data/infuse_oa_lyr_2011.shp")
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oa11 <- st_read("./data/infuse_oa_lyr_2011.shp")
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# download 2011 LSOA polygons - level 2
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# download 2011 LSOA polygons - level 2
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lsoa11 <- st_read("./data/infuse_lsoa_lyr_2011.shp")
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lsoa11 <- st_read("./data/infuse_lsoa_lyr_2011.shp")
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# download local authorities data for whole UK - level 1 (least detailed)
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# download local authorities data for whole UK - level 1 (least detailed)
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local_authorities <- st_read("data/infuse_dist_lyr_2011.shp")
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local_authorities <- st_read("data/infuse_dist_lyr_2011.shp")
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# Load buildings shapefile:
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# Load buildings shapefile:
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buildings <- st_read("./data/OS_Open_Zoomstack_district_buildings.gpkg")
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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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# 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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buffer <- st_buffer(buildings,150)
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@ -25,9 +24,11 @@ st_write(difference, "data/local_authorities_cropped_union_buffer_150.gpkg")
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inversion <- st_difference(local_authorities$geom, difference)
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inversion <- st_difference(local_authorities$geom, difference)
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# Write results to a file:
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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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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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# 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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# 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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buffer <- st_buffer(buildings,150)
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# Dissolve and merge overlapping shapes
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# Dissolve and merge overlapping shapes
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@ -40,3 +41,6 @@ st_write(difference, "data/countries_cropped_union_buffer_150.gpkg")
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inversion <- st_difference(countries$geom, difference)
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inversion <- st_difference(countries$geom, difference)
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# Write results to a file:
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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, "data/countries_cropped_union_buffer_150_inverted.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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