spRbind-methods.RdspRbind provides rbind-like methods for Spatial*DataFrame objects
rbind two SpatialPoints objects
rbind two SpatialPointsDataFrame objects
rbind two SpatialLines objects
rbind two SpatialLinesDataFrame objects
rbind two SpatialPolygons objects
rbind two SpatialPolygonsDataFrame objects
In addition to the spRbind-methods, there are also
rbind-methods for Spatial* objects. The differences are:
spRbind-methods can bind 2 objects, whereas rbind-methods
can bind multiple object
some rbind can accept objects with duplicated IDs, for all
spRbind-methods these have to be modified explicitly, e.g. by
calling spChFIDs-methods
xx <- readShapePoly(system.file("shapes/sids.shp", package="maptools")[1],
IDvar="FIPSNO", proj4string=CRS("+proj=longlat +ellps=clrk66"))
#> Warning: shapelib support is provided by GDAL through the sf and terra packages among others
summary(xx)
#> Object of class SpatialPolygonsDataFrame
#> Coordinates:
#> min max
#> x -84.32385 -75.45698
#> y 33.88199 36.58965
#> Is projected: FALSE
#> proj4string : [+proj=longlat +ellps=clrk66 +no_defs]
#> Data attributes:
#> AREA PERIMETER CNTY_ CNTY_ID NAME
#> Min. :0.0420 Min. :0.999 Min. :1825 Min. :1825 Alamance : 1
#> 1st Qu.:0.0910 1st Qu.:1.324 1st Qu.:1902 1st Qu.:1902 Alexander: 1
#> Median :0.1205 Median :1.609 Median :1982 Median :1982 Alleghany: 1
#> Mean :0.1263 Mean :1.673 Mean :1986 Mean :1986 Anson : 1
#> 3rd Qu.:0.1542 3rd Qu.:1.859 3rd Qu.:2067 3rd Qu.:2067 Ashe : 1
#> Max. :0.2410 Max. :3.640 Max. :2241 Max. :2241 Avery : 1
#> (Other) :94
#> FIPS FIPSNO CRESS_ID BIR74 SID74
#> 37001 : 1 Min. :37001 Min. : 1.00 Min. : 248 Min. : 0.00
#> 37003 : 1 1st Qu.:37050 1st Qu.: 25.75 1st Qu.: 1077 1st Qu.: 2.00
#> 37005 : 1 Median :37100 Median : 50.50 Median : 2180 Median : 4.00
#> 37007 : 1 Mean :37100 Mean : 50.50 Mean : 3300 Mean : 6.67
#> 37009 : 1 3rd Qu.:37150 3rd Qu.: 75.25 3rd Qu.: 3936 3rd Qu.: 8.25
#> 37011 : 1 Max. :37199 Max. :100.00 Max. :21588 Max. :44.00
#> (Other):94
#> NWBIR74 BIR79 SID79 NWBIR79
#> Min. : 1.0 Min. : 319 Min. : 0.00 Min. : 3.0
#> 1st Qu.: 190.0 1st Qu.: 1336 1st Qu.: 2.00 1st Qu.: 250.5
#> Median : 697.5 Median : 2636 Median : 5.00 Median : 874.5
#> Mean :1050.8 Mean : 4224 Mean : 8.36 Mean : 1352.8
#> 3rd Qu.:1168.5 3rd Qu.: 4889 3rd Qu.:10.25 3rd Qu.: 1406.8
#> Max. :8027.0 Max. :30757 Max. :57.00 Max. :11631.0
#>
xx$FIPSNO
#> [1] 37001 37003 37005 37007 37009 37011 37013 37015 37017 37019 37021 37023
#> [13] 37025 37027 37029 37031 37033 37035 37037 37039 37041 37043 37045 37047
#> [25] 37049 37051 37053 37055 37057 37059 37061 37063 37065 37067 37069 37071
#> [37] 37073 37075 37077 37079 37081 37083 37085 37087 37089 37091 37093 37095
#> [49] 37097 37099 37101 37103 37105 37107 37109 37111 37113 37115 37117 37119
#> [61] 37121 37123 37125 37127 37129 37131 37133 37135 37137 37139 37141 37143
#> [73] 37145 37147 37149 37151 37153 37155 37157 37159 37161 37163 37165 37167
#> [85] 37169 37171 37173 37175 37177 37179 37181 37183 37185 37187 37189 37191
#> [97] 37193 37195 37197 37199
xx1 <- xx[xx$CNTY_ID < 1982,]
xx2 <- xx[xx$CNTY_ID >= 1982,]
xx3 <- spRbind(xx2, xx1)
summary(xx3)
#> Object of class SpatialPolygonsDataFrame
#> Coordinates:
#> min max
#> x -84.32385 -75.45698
#> y 33.88199 36.58965
#> Is projected: FALSE
#> proj4string : [+proj=longlat +ellps=clrk66 +no_defs]
#> Data attributes:
#> AREA PERIMETER CNTY_ CNTY_ID NAME
#> Min. :0.0420 Min. :0.999 Min. :1825 Min. :1825 Alamance : 1
#> 1st Qu.:0.0910 1st Qu.:1.324 1st Qu.:1902 1st Qu.:1902 Alexander: 1
#> Median :0.1205 Median :1.609 Median :1982 Median :1982 Alleghany: 1
#> Mean :0.1263 Mean :1.673 Mean :1986 Mean :1986 Anson : 1
#> 3rd Qu.:0.1542 3rd Qu.:1.859 3rd Qu.:2067 3rd Qu.:2067 Ashe : 1
#> Max. :0.2410 Max. :3.640 Max. :2241 Max. :2241 Avery : 1
#> (Other) :94
#> FIPS FIPSNO CRESS_ID BIR74 SID74
#> 37001 : 1 Min. :37001 Min. : 1.00 Min. : 248 Min. : 0.00
#> 37003 : 1 1st Qu.:37050 1st Qu.: 25.75 1st Qu.: 1077 1st Qu.: 2.00
#> 37005 : 1 Median :37100 Median : 50.50 Median : 2180 Median : 4.00
#> 37007 : 1 Mean :37100 Mean : 50.50 Mean : 3300 Mean : 6.67
#> 37009 : 1 3rd Qu.:37150 3rd Qu.: 75.25 3rd Qu.: 3936 3rd Qu.: 8.25
#> 37011 : 1 Max. :37199 Max. :100.00 Max. :21588 Max. :44.00
#> (Other):94
#> NWBIR74 BIR79 SID79 NWBIR79
#> Min. : 1.0 Min. : 319 Min. : 0.00 Min. : 3.0
#> 1st Qu.: 190.0 1st Qu.: 1336 1st Qu.: 2.00 1st Qu.: 250.5
#> Median : 697.5 Median : 2636 Median : 5.00 Median : 874.5
#> Mean :1050.8 Mean : 4224 Mean : 8.36 Mean : 1352.8
#> 3rd Qu.:1168.5 3rd Qu.: 4889 3rd Qu.:10.25 3rd Qu.: 1406.8
#> Max. :8027.0 Max. :30757 Max. :57.00 Max. :11631.0
#>
xx3$FIPSNO
#> [1] 37007 37013 37017 37019 37021 37025 37031 37035 37039 37043 37045 37047
#> [13] 37049 37051 37055 37061 37071 37075 37079 37085 37087 37089 37093 37095
#> [25] 37099 37101 37103 37105 37107 37109 37113 37119 37123 37125 37129 37133
#> [37] 37137 37141 37147 37149 37153 37155 37161 37163 37165 37167 37173 37175
#> [49] 37179 37191 37001 37003 37005 37009 37011 37015 37023 37027 37029 37033
#> [61] 37037 37041 37053 37057 37059 37063 37065 37067 37069 37073 37077 37081
#> [73] 37083 37091 37097 37111 37115 37117 37121 37127 37131 37135 37139 37143
#> [85] 37145 37151 37157 37159 37169 37171 37177 37181 37183 37185 37187 37189
#> [97] 37193 37195 37197 37199