R Merging Map ShapeFiles Together












2















I am attempting to merge two shapefiles together in R to plot.



I have downloaded the ShapeFile format of the political boundaries of the Carribbean from here and the ShapeFile of U.S. county borders from this link.



I have read in both files with



US_counties <- shapefile("~/us_county_shp_files/tl_2017_us_county.shp")
carribbean <- shapefile("~/pol6bg/pol6bg.shp")


From looking at other posts, I have tried using both the union and the rbind methods.



With rbind (shown below), I get the error: identicalCRS(dots) is not TRUE.



rbind(US_counties, carribbean, makeUniqueIDs = TRUE)


With union, I get Error in as.vector(x) : no method for coercing this S4 class to a vector.



union(US_counties, carribbean)


Thanks in advance!










share|improve this question





























    2















    I am attempting to merge two shapefiles together in R to plot.



    I have downloaded the ShapeFile format of the political boundaries of the Carribbean from here and the ShapeFile of U.S. county borders from this link.



    I have read in both files with



    US_counties <- shapefile("~/us_county_shp_files/tl_2017_us_county.shp")
    carribbean <- shapefile("~/pol6bg/pol6bg.shp")


    From looking at other posts, I have tried using both the union and the rbind methods.



    With rbind (shown below), I get the error: identicalCRS(dots) is not TRUE.



    rbind(US_counties, carribbean, makeUniqueIDs = TRUE)


    With union, I get Error in as.vector(x) : no method for coercing this S4 class to a vector.



    union(US_counties, carribbean)


    Thanks in advance!










    share|improve this question



























      2












      2








      2








      I am attempting to merge two shapefiles together in R to plot.



      I have downloaded the ShapeFile format of the political boundaries of the Carribbean from here and the ShapeFile of U.S. county borders from this link.



      I have read in both files with



      US_counties <- shapefile("~/us_county_shp_files/tl_2017_us_county.shp")
      carribbean <- shapefile("~/pol6bg/pol6bg.shp")


      From looking at other posts, I have tried using both the union and the rbind methods.



      With rbind (shown below), I get the error: identicalCRS(dots) is not TRUE.



      rbind(US_counties, carribbean, makeUniqueIDs = TRUE)


      With union, I get Error in as.vector(x) : no method for coercing this S4 class to a vector.



      union(US_counties, carribbean)


      Thanks in advance!










      share|improve this question
















      I am attempting to merge two shapefiles together in R to plot.



      I have downloaded the ShapeFile format of the political boundaries of the Carribbean from here and the ShapeFile of U.S. county borders from this link.



      I have read in both files with



      US_counties <- shapefile("~/us_county_shp_files/tl_2017_us_county.shp")
      carribbean <- shapefile("~/pol6bg/pol6bg.shp")


      From looking at other posts, I have tried using both the union and the rbind methods.



      With rbind (shown below), I get the error: identicalCRS(dots) is not TRUE.



      rbind(US_counties, carribbean, makeUniqueIDs = TRUE)


      With union, I get Error in as.vector(x) : no method for coercing this S4 class to a vector.



      union(US_counties, carribbean)


      Thanks in advance!







      r shapefile






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 19 '18 at 17:53







      Alan

















      asked Nov 19 '18 at 16:24









      AlanAlan

      9110




      9110
























          1 Answer
          1






          active

          oldest

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          2














          Firstly, the error when using union seems to arise due to conflicting packages. In particular, not the right function union is being called. Using



          raster:::union(US_counties, carribbean)


          gives



          Warning message:
          In union(US_counties, carribbean) : non identical CRS


          which possibly is an important warning and says the same as when trying to use `rbind. Perhaps you know more about CRS (Coordinate Reference Systems) than me, but the problem is that



          proj4string(carribbean)
          # [1] "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
          proj4string(US_counties)
          # [1] "+proj=longlat +datum=NAD83 +no_defs +ellps=GRS80 +towgs84=0,0,0"


          So, not very surprisingly, the two shape files are of somewhat different formats. With the help of this useful read we see that it's not hard to unify those formats, after all. E.g.,



          library(sp)
          carribbean <- spTransform(carribbean, proj4string(US_counties))


          Then



          rbind(US_counties, carribbean, makeUniqueIDs = TRUE)
          # Error in rbind(deparse.level, ...) :
          # numbers of columns of arguments do not match


          still doesn't work, but the problem is clear given that we are trying to bind different variables



          names(US_counties)
          # [1] "STATEFP" "COUNTYFP" "COUNTYNS" "GEOID" "NAME" "NAMELSAD" "LSAD" "CLASSFP"
          # [9] "MTFCC" "CSAFP" "CBSAFP" "METDIVFP" "FUNCSTAT" "ALAND" "AWATER" "INTPTLAT"
          # [17] "INTPTLON"
          names(carribbean)
          # [1] "F_CODE" "NAM" "NA2" "NA2_DESCRI" "NA3" "NA3_DESCRI" "WFBPATHLN"
          # [8] "AREA" "PERIMETER"


          However,



          raster:::union(US_counties, carribbean)


          now works and shows no warnings.






          share|improve this answer


























          • Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

            – Alan
            Nov 20 '18 at 1:51






          • 1





            @Alan, see the update. It was actually more about too many packages rather than missing something.

            – Julius Vainora
            Nov 20 '18 at 2:22











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          2














          Firstly, the error when using union seems to arise due to conflicting packages. In particular, not the right function union is being called. Using



          raster:::union(US_counties, carribbean)


          gives



          Warning message:
          In union(US_counties, carribbean) : non identical CRS


          which possibly is an important warning and says the same as when trying to use `rbind. Perhaps you know more about CRS (Coordinate Reference Systems) than me, but the problem is that



          proj4string(carribbean)
          # [1] "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
          proj4string(US_counties)
          # [1] "+proj=longlat +datum=NAD83 +no_defs +ellps=GRS80 +towgs84=0,0,0"


          So, not very surprisingly, the two shape files are of somewhat different formats. With the help of this useful read we see that it's not hard to unify those formats, after all. E.g.,



          library(sp)
          carribbean <- spTransform(carribbean, proj4string(US_counties))


          Then



          rbind(US_counties, carribbean, makeUniqueIDs = TRUE)
          # Error in rbind(deparse.level, ...) :
          # numbers of columns of arguments do not match


          still doesn't work, but the problem is clear given that we are trying to bind different variables



          names(US_counties)
          # [1] "STATEFP" "COUNTYFP" "COUNTYNS" "GEOID" "NAME" "NAMELSAD" "LSAD" "CLASSFP"
          # [9] "MTFCC" "CSAFP" "CBSAFP" "METDIVFP" "FUNCSTAT" "ALAND" "AWATER" "INTPTLAT"
          # [17] "INTPTLON"
          names(carribbean)
          # [1] "F_CODE" "NAM" "NA2" "NA2_DESCRI" "NA3" "NA3_DESCRI" "WFBPATHLN"
          # [8] "AREA" "PERIMETER"


          However,



          raster:::union(US_counties, carribbean)


          now works and shows no warnings.






          share|improve this answer


























          • Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

            – Alan
            Nov 20 '18 at 1:51






          • 1





            @Alan, see the update. It was actually more about too many packages rather than missing something.

            – Julius Vainora
            Nov 20 '18 at 2:22
















          2














          Firstly, the error when using union seems to arise due to conflicting packages. In particular, not the right function union is being called. Using



          raster:::union(US_counties, carribbean)


          gives



          Warning message:
          In union(US_counties, carribbean) : non identical CRS


          which possibly is an important warning and says the same as when trying to use `rbind. Perhaps you know more about CRS (Coordinate Reference Systems) than me, but the problem is that



          proj4string(carribbean)
          # [1] "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
          proj4string(US_counties)
          # [1] "+proj=longlat +datum=NAD83 +no_defs +ellps=GRS80 +towgs84=0,0,0"


          So, not very surprisingly, the two shape files are of somewhat different formats. With the help of this useful read we see that it's not hard to unify those formats, after all. E.g.,



          library(sp)
          carribbean <- spTransform(carribbean, proj4string(US_counties))


          Then



          rbind(US_counties, carribbean, makeUniqueIDs = TRUE)
          # Error in rbind(deparse.level, ...) :
          # numbers of columns of arguments do not match


          still doesn't work, but the problem is clear given that we are trying to bind different variables



          names(US_counties)
          # [1] "STATEFP" "COUNTYFP" "COUNTYNS" "GEOID" "NAME" "NAMELSAD" "LSAD" "CLASSFP"
          # [9] "MTFCC" "CSAFP" "CBSAFP" "METDIVFP" "FUNCSTAT" "ALAND" "AWATER" "INTPTLAT"
          # [17] "INTPTLON"
          names(carribbean)
          # [1] "F_CODE" "NAM" "NA2" "NA2_DESCRI" "NA3" "NA3_DESCRI" "WFBPATHLN"
          # [8] "AREA" "PERIMETER"


          However,



          raster:::union(US_counties, carribbean)


          now works and shows no warnings.






          share|improve this answer


























          • Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

            – Alan
            Nov 20 '18 at 1:51






          • 1





            @Alan, see the update. It was actually more about too many packages rather than missing something.

            – Julius Vainora
            Nov 20 '18 at 2:22














          2












          2








          2







          Firstly, the error when using union seems to arise due to conflicting packages. In particular, not the right function union is being called. Using



          raster:::union(US_counties, carribbean)


          gives



          Warning message:
          In union(US_counties, carribbean) : non identical CRS


          which possibly is an important warning and says the same as when trying to use `rbind. Perhaps you know more about CRS (Coordinate Reference Systems) than me, but the problem is that



          proj4string(carribbean)
          # [1] "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
          proj4string(US_counties)
          # [1] "+proj=longlat +datum=NAD83 +no_defs +ellps=GRS80 +towgs84=0,0,0"


          So, not very surprisingly, the two shape files are of somewhat different formats. With the help of this useful read we see that it's not hard to unify those formats, after all. E.g.,



          library(sp)
          carribbean <- spTransform(carribbean, proj4string(US_counties))


          Then



          rbind(US_counties, carribbean, makeUniqueIDs = TRUE)
          # Error in rbind(deparse.level, ...) :
          # numbers of columns of arguments do not match


          still doesn't work, but the problem is clear given that we are trying to bind different variables



          names(US_counties)
          # [1] "STATEFP" "COUNTYFP" "COUNTYNS" "GEOID" "NAME" "NAMELSAD" "LSAD" "CLASSFP"
          # [9] "MTFCC" "CSAFP" "CBSAFP" "METDIVFP" "FUNCSTAT" "ALAND" "AWATER" "INTPTLAT"
          # [17] "INTPTLON"
          names(carribbean)
          # [1] "F_CODE" "NAM" "NA2" "NA2_DESCRI" "NA3" "NA3_DESCRI" "WFBPATHLN"
          # [8] "AREA" "PERIMETER"


          However,



          raster:::union(US_counties, carribbean)


          now works and shows no warnings.






          share|improve this answer















          Firstly, the error when using union seems to arise due to conflicting packages. In particular, not the right function union is being called. Using



          raster:::union(US_counties, carribbean)


          gives



          Warning message:
          In union(US_counties, carribbean) : non identical CRS


          which possibly is an important warning and says the same as when trying to use `rbind. Perhaps you know more about CRS (Coordinate Reference Systems) than me, but the problem is that



          proj4string(carribbean)
          # [1] "+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0"
          proj4string(US_counties)
          # [1] "+proj=longlat +datum=NAD83 +no_defs +ellps=GRS80 +towgs84=0,0,0"


          So, not very surprisingly, the two shape files are of somewhat different formats. With the help of this useful read we see that it's not hard to unify those formats, after all. E.g.,



          library(sp)
          carribbean <- spTransform(carribbean, proj4string(US_counties))


          Then



          rbind(US_counties, carribbean, makeUniqueIDs = TRUE)
          # Error in rbind(deparse.level, ...) :
          # numbers of columns of arguments do not match


          still doesn't work, but the problem is clear given that we are trying to bind different variables



          names(US_counties)
          # [1] "STATEFP" "COUNTYFP" "COUNTYNS" "GEOID" "NAME" "NAMELSAD" "LSAD" "CLASSFP"
          # [9] "MTFCC" "CSAFP" "CBSAFP" "METDIVFP" "FUNCSTAT" "ALAND" "AWATER" "INTPTLAT"
          # [17] "INTPTLON"
          names(carribbean)
          # [1] "F_CODE" "NAM" "NA2" "NA2_DESCRI" "NA3" "NA3_DESCRI" "WFBPATHLN"
          # [8] "AREA" "PERIMETER"


          However,



          raster:::union(US_counties, carribbean)


          now works and shows no warnings.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Nov 20 '18 at 2:21

























          answered Nov 19 '18 at 18:33









          Julius VainoraJulius Vainora

          36.8k76481




          36.8k76481













          • Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

            – Alan
            Nov 20 '18 at 1:51






          • 1





            @Alan, see the update. It was actually more about too many packages rather than missing something.

            – Julius Vainora
            Nov 20 '18 at 2:22



















          • Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

            – Alan
            Nov 20 '18 at 1:51






          • 1





            @Alan, see the update. It was actually more about too many packages rather than missing something.

            – Julius Vainora
            Nov 20 '18 at 2:22

















          Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

          – Alan
          Nov 20 '18 at 1:51





          Thanks for the answer Julius! When I try to replicate your code, I get this error from the union method call: Error in as.vector(x) : no method for coercing this S4 class to a vector. Is it because of a package I am missing?

          – Alan
          Nov 20 '18 at 1:51




          1




          1





          @Alan, see the update. It was actually more about too many packages rather than missing something.

          – Julius Vainora
          Nov 20 '18 at 2:22





          @Alan, see the update. It was actually more about too many packages rather than missing something.

          – Julius Vainora
          Nov 20 '18 at 2:22


















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