R Merging Map ShapeFiles Together
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
add a comment |
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
add a comment |
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
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
r shapefile
edited Nov 19 '18 at 17:53
Alan
asked Nov 19 '18 at 16:24
AlanAlan
9110
9110
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1 Answer
1
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oldest
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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.
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
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
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
add a comment |
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.
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
add a comment |
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.
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.
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
add a comment |
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
add a comment |
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