The default plot shows only the mesh. If show_intersection = TRUE, the part of the mesh that has 2 intersecting regions or more is contrasted to the rest.

# S3 method for polymer
plot(x, ..., show_intersection = FALSE)

Arguments

x

polymer

...

arguments to polypath

show_intersection

logical, plot the intersection region contrasted to the pool (default FALSE)

Value

the input, invisibly

Examples

plot(polymer(A, B, C))

library(sf)
example(st_read)
#> 
#> st_red> nc = st_read(system.file("shape/nc.shp", package="sf"))
#> Reading layer `nc' from data source 
#>   `/home/runner/work/_temp/Library/sf/shape/nc.shp' using driver `ESRI Shapefile'
#> Simple feature collection with 100 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -84.32385 ymin: 33.88199 xmax: -75.45698 ymax: 36.58965
#> Geodetic CRS:  NAD27
#> 
#> st_red> summary(nc) # note that AREA was computed using Euclidian area on lon/lat degrees
#>       AREA          PERIMETER         CNTY_         CNTY_ID    
#>  Min.   :0.0420   Min.   :0.999   Min.   :1825   Min.   :1825  
#>  1st Qu.:0.0910   1st Qu.:1.324   1st Qu.:1902   1st Qu.:1902  
#>  Median :0.1205   Median :1.609   Median :1982   Median :1982  
#>  Mean   :0.1263   Mean   :1.673   Mean   :1986   Mean   :1986  
#>  3rd Qu.:0.1542   3rd Qu.:1.859   3rd Qu.:2067   3rd Qu.:2067  
#>  Max.   :0.2410   Max.   :3.640   Max.   :2241   Max.   :2241  
#>      NAME               FIPS               FIPSNO         CRESS_ID     
#>  Length:100         Length:100         Min.   :37001   Min.   :  1.00  
#>  Class :character   Class :character   1st Qu.:37050   1st Qu.: 25.75  
#>  Mode  :character   Mode  :character   Median :37100   Median : 50.50  
#>                                        Mean   :37100   Mean   : 50.50  
#>                                        3rd Qu.:37150   3rd Qu.: 75.25  
#>                                        Max.   :37199   Max.   :100.00  
#>      BIR74           SID74          NWBIR74           BIR79      
#>  Min.   :  248   Min.   : 0.00   Min.   :   1.0   Min.   :  319  
#>  1st Qu.: 1077   1st Qu.: 2.00   1st Qu.: 190.0   1st Qu.: 1336  
#>  Median : 2180   Median : 4.00   Median : 697.5   Median : 2636  
#>  Mean   : 3300   Mean   : 6.67   Mean   :1050.8   Mean   : 4224  
#>  3rd Qu.: 3936   3rd Qu.: 8.25   3rd Qu.:1168.5   3rd Qu.: 4889  
#>  Max.   :21588   Max.   :44.00   Max.   :8027.0   Max.   :30757  
#>      SID79          NWBIR79                 geometry  
#>  Min.   : 0.00   Min.   :    3.0   MULTIPOLYGON :100  
#>  1st Qu.: 2.00   1st Qu.:  250.5   epsg:4267    :  0  
#>  Median : 5.00   Median :  874.5   +proj=long...:  0  
#>  Mean   : 8.36   Mean   : 1352.8                      
#>  3rd Qu.:10.25   3rd Qu.: 1406.8                      
#>  Max.   :57.00   Max.   :11631.0                      
#> 
#> st_red> ## only three fields by select clause
#> st_red> ## only two features by where clause
#> st_red> nc_sql = st_read(system.file("shape/nc.shp", package="sf"),
#> st_red+                      query = "SELECT NAME, SID74, FIPS FROM \"nc\" WHERE BIR74 > 20000")
#> Reading query `SELECT NAME, SID74, FIPS FROM "nc" WHERE BIR74 > 20000'
#> from data source `/home/runner/work/_temp/Library/sf/shape/nc.shp' using driver `ESRI Shapefile'
#> Simple feature collection with 2 features and 3 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -81.06555 ymin: 34.82742 xmax: -78.49929 ymax: 35.50912
#> Geodetic CRS:  NAD27
#> 
#> st_red> ## Not run: 
#> st_red> ##D   library(sp)
#> st_red> ##D   example(meuse, ask = FALSE, echo = FALSE)
#> st_red> ##D   try(st_write(st_as_sf(meuse), "PG:dbname=postgis", "meuse",
#> st_red> ##D        layer_options = "OVERWRITE=true"))
#> st_red> ##D   try(st_meuse <- st_read("PG:dbname=postgis", "meuse"))
#> st_red> ##D   if (exists("st_meuse"))
#> st_red> ##D     summary(st_meuse)
#> st_red> ## End(Not run)
#> st_red> 
#> st_red> ## Not run: 
#> st_red> ##D ## note that we need special escaping of layer  within single quotes (nc.gpkg)
#> st_red> ##D ## and that geom needs to be included in the select, otherwise we don't detect it
#> st_red> ##D layer <- st_layers(system.file("gpkg/nc.gpkg", package = "sf"))$name[1]
#> st_red> ##D nc_gpkg_sql = st_read(system.file("gpkg/nc.gpkg", package = "sf"),
#> st_red> ##D    query = sprintf("SELECT NAME, SID74, FIPS, geom  FROM \"%s\" WHERE BIR74 > 20000", layer))
#> st_red> ## End(Not run)
#> st_red> # spatial filter, as wkt:
#> st_red> wkt = st_as_text(st_geometry(nc[1,]))
#> 
#> st_red> # filter by (bbox overlaps of) first feature geometry:
#> st_red> st_read(system.file("gpkg/nc.gpkg", package="sf"), wkt_filter = wkt)
#> Reading layer `nc.gpkg' from data source 
#>   `/home/runner/work/_temp/Library/sf/gpkg/nc.gpkg' using driver `GPKG'
#> Simple feature collection with 4 features and 14 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -81.91116 ymin: 35.98933 xmax: -80.87086 ymax: 36.58965
#> Geodetic CRS:  NAD27
#> 
#> st_red> # read geojson from string:
#> st_red> geojson_txt <- paste("{\"type\":\"MultiPoint\",\"coordinates\":",
#> st_red+    "[[3.2,4],[3,4.6],[3.8,4.4],[3.5,3.8],[3.4,3.6],[3.9,4.5]]}")
#> 
#> st_red> x = st_read(geojson_txt)
#> Reading layer `OGRGeoJSON' from data source 
#>   `{"type":"MultiPoint","coordinates": [[3.2,4],[3,4.6],[3.8,4.4],[3.5,3.8],[3.4,3.6],[3.9,4.5]]}' 
#>   using driver `GeoJSON'
#> Simple feature collection with 1 feature and 0 fields
#> Geometry type: MULTIPOINT
#> Dimension:     XY
#> Bounding box:  xmin: 3 ymin: 3.6 xmax: 3.9 ymax: 4.6
#> Geodetic CRS:  WGS 84
#> 
#> st_red> x
#> Simple feature collection with 1 feature and 0 fields
#> Geometry type: MULTIPOINT
#> Dimension:     XY
#> Bounding box:  xmin: 3 ymin: 3.6 xmax: 3.9 ymax: 4.6
#> Geodetic CRS:  WGS 84
#>                         geometry
#> 1 MULTIPOINT ((3.2 4), (3 4.6...
#> 
#> st_red> ## Not run: 
#> st_red> ##D library(RPostgreSQL)
#> st_red> ##D try(conn <- dbConnect(PostgreSQL(), dbname = "postgis"))
#> st_red> ##D if (exists("conn") && !inherits(conn, "try-error")) {
#> st_red> ##D   x = st_read(conn, "meuse", query = "select * from meuse limit 3;")
#> st_red> ##D   x = st_read(conn, table = "public.meuse")
#> st_red> ##D   print(st_crs(x)) # SRID resolved by the database, not by GDAL!
#> st_red> ##D   dbDisconnect(conn)
#> st_red> ##D  }
#> st_red> ## End(Not run)
#> st_red> 
#> st_red> 
#> st_red> 
nc <- nc[1:5, ]
x <- polymer(nc, st_jitter(nc, amount = 0.1))
plot(x)