Object of class WR
WR.Rd
Creates an object with data and coordinate of class WR
to use with mapping
function or available in other R "maps" packages.
Usage
WR(data, colID = NULL,
unit = c("country", "nato", "ocde", "continent",
"region", "subregion", "region_wb",
"type_income", "type_economy"),
matchWith = c("country", "iso2", "iso3", "iso3_eh",
"iso3_numeric", "iso3_un", "iso2_wb",
"iso3_wb", "name_formal", "name_wb"),
res = c("low", "hi"), show_wr = TRUE, subset = NULL,
add = NULL, new_var_names = NULL,
aggregation_fun = sum, aggregation_unit = NULL, aggregation_var = NULL,
facets = NULL, check.unit.names = TRUE, dir = NULL, use_cache = TRUE,
print = FALSE, use_internet = TRUE, crs = NULL)
Arguments
- data
a data.frame object with variables to display
- colID
character value or columns number indicating the column with unit names
- unit
the type of world statistical unit
- matchWith
the type of id to check:
"country"
if country names "iso2"
if iso2 code "iso3"
if iso3 code "iso3_eh"
if iso3_eh code "iso3_numeric"
if iso3 numeric code "iso3_un"
if iso3 United Nations "iso2_wb"
if iso2 World Bank "iso3_wb"
if iso3 World Bank "name_formal"
if formal names "name_wb"
if World Bank names - res
map resolution
- show_wr
logical value set to TRUE indicating if the entire map is drawn or only the coordinates linked to the input data
- subset
a formula indicating the condition to subset the data, see the Details
- add
a formula to add new transformed variables starting from the variables in the
data
- new_var_names
a character value or vector indicating the names of the new variables created in
add
- aggregation_fun
function to use when data are aggregated
- aggregation_unit
variable name by which the unit are aggregated
- aggregation_var
variable name with value to aggregate
- facets
variable(s) name to split the data
- check.unit.names
a logical value indicating if the
colID
names are checked withunit
names- dir
local directory in which shape files are stored
- use_cache
a logical value indicating whether use the cache
a logical value indicating whether print the nomatched names
- use_internet
a logical value indicating wheter the coordinates are downloaded from https://github.com/mappinguniverse/geospatial. If
FALSE
the maps downloaded during package installation will be used- crs
coordinate reference system. Look at
st_crs
Details
The function links (automatically) the id in the data
and the coordinates for the given unit
.
Since the names (or codes) provided in the data
given in input must be checked with the unit
names (or codes) available in the package, the check.unit.names
provides a preliminary check.
subset
provide an expression to subset the data
, using a formula with the logical operators. For example, sub-samples of the data can be selected as follows: ~I("Variable 1" == "condition 1" & "Variable 2" != "condition 2")
or for example, ~I("Variable 1" > "condition 1" | "Variable 2" != "condition 2")
.
Examples
data("popWR")
wr <- WR(data = popWR, colID = "country_code",
matchWith = "iso3_eh", res = "low")
str(wr, 1)
#> Classes ‘sf’, ‘WR’, ‘WR’ and 'data.frame': 248 obs. of 24 variables:
#> $ country_load: chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ name_formal : chr "Republic of Indonesia" "Malaysia" "Republic of Chile" "Plurinational State of Bolivia" ...
#> $ name_wb : chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ iso2 : chr "ID" "MY" "CL" "BO" ...
#> $ iso3 : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ country_code: chr "idn" "mys" "chl" "bol" ...
#> $ iso3_numeric: chr "360" "458" "152" "068" ...
#> $ iso3_un : chr "360" "458" "152" "068" ...
#> $ iso2_wb : chr "ID" "MY" "CL" "BO" ...
#> $ iso3_wb : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ continent : chr "Asia" "Asia" "South America" "South America" ...
#> $ region : chr "Asia" "Asia" "Americas" "Americas" ...
#> $ subregion : chr "South-Eastern Asia" "South-Eastern Asia" "South America" "South America" ...
#> $ region_wb : chr "East Asia & Pacific" "East Asia & Pacific" "Latin America & Caribbean" "Latin America & Caribbean" ...
#> $ type : chr "Sovereign country" "Sovereign country" "Sovereign country" "Sovereign country" ...
#> $ type_economy: chr "Emerging" "Developing" "Emerging" "Emerging" ...
#> $ type_income : chr "Lower middle income" "Upper middle income" "Upper middle income" "Lower middle income" ...
#> $ nato : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
#> $ ocde : logi FALSE FALSE TRUE FALSE FALSE FALSE ...
#> $ country : Factor w/ 265 levels "","Afghanistan",..: 112 150 45 26 193 10 56 111 46 117 ...
#> $ total : num 2.68e+08 3.15e+07 1.87e+07 1.14e+07 3.20e+07 ...
#> $ male : num 1.35e+08 1.62e+07 9.23e+06 5.70e+06 1.59e+07 ...
#> $ female : num 1.33e+08 1.53e+07 9.50e+06 5.65e+06 1.61e+07 ...
#> $ geometry :sfc_MULTIPOLYGON of length 248; first list element: List of 178
#> ..- attr(*, "class")= chr [1:3] "XY" "MULTIPOLYGON" "sfg"
#> - attr(*, "sf_column")= chr "geometry"
#> - attr(*, "agr")= Factor w/ 3 levels "constant","aggregate",..: NA NA NA NA NA NA NA NA NA NA ...
#> ..- attr(*, "names")= chr [1:23] "country_load" "name_formal" "name_wb" "iso2" ...
#> - attr(*, "unit")= chr "country"
#> - attr(*, "colID")= chr "country_code"
wr1 <- WR(data = popWR, colID = "country_code",
matchWith = "iso3_eh", res = "low",
add = ~I(male/total) + I(female/total))
str(wr1)
#> Classes ‘sf’, ‘WR’, ‘WR’ and 'data.frame': 248 obs. of 26 variables:
#> $ country_load : chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ name_formal : chr "Republic of Indonesia" "Malaysia" "Republic of Chile" "Plurinational State of Bolivia" ...
#> $ name_wb : chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ iso2 : chr "ID" "MY" "CL" "BO" ...
#> $ iso3 : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ country_code : chr "idn" "mys" "chl" "bol" ...
#> $ iso3_numeric : chr "360" "458" "152" "068" ...
#> $ iso3_un : chr "360" "458" "152" "068" ...
#> $ iso2_wb : chr "ID" "MY" "CL" "BO" ...
#> $ iso3_wb : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ continent : chr "Asia" "Asia" "South America" "South America" ...
#> $ region : chr "Asia" "Asia" "Americas" "Americas" ...
#> $ subregion : chr "South-Eastern Asia" "South-Eastern Asia" "South America" "South America" ...
#> $ region_wb : chr "East Asia & Pacific" "East Asia & Pacific" "Latin America & Caribbean" "Latin America & Caribbean" ...
#> $ type : chr "Sovereign country" "Sovereign country" "Sovereign country" "Sovereign country" ...
#> $ type_economy : chr "Emerging" "Developing" "Emerging" "Emerging" ...
#> $ type_income : chr "Lower middle income" "Upper middle income" "Upper middle income" "Lower middle income" ...
#> $ nato : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
#> $ ocde : logi FALSE FALSE TRUE FALSE FALSE FALSE ...
#> $ country : Factor w/ 265 levels "","Afghanistan",..: 112 150 45 26 193 10 56 111 46 117 ...
#> $ total : num 2.68e+08 3.15e+07 1.87e+07 1.14e+07 3.20e+07 ...
#> $ male : num 1.35e+08 1.62e+07 9.23e+06 5.70e+06 1.59e+07 ...
#> $ female : num 1.33e+08 1.53e+07 9.50e+06 5.65e+06 1.61e+07 ...
#> $ I.male.total. : 'AsIs' num 0.503561.... 0.514214.... 0.492729.... 0.502166.... 0.496622.... ...
#> $ I.female.total.: 'AsIs' num 0.496438.... 0.485785.... 0.507270.... 0.497833.... 0.503377.... ...
#> $ geometry :sfc_MULTIPOLYGON of length 248; first list element: List of 178
#> ..$ :List of 1
#> .. ..$ : num [1:96, 1:2] 141 141 140 140 138 ...
#> ..$ :List of 1
#> .. ..$ : num [1:10, 1:2] 137 137 136 136 136 ...
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 134 134 134 134 134 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 134 134 134 134 134 ...
#> ..$ :List of 1
#> .. ..$ : num [1:7, 1:2] 133 133 134 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 133 133 133 133 133 ...
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 126 126 126 126 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:15, 1:2] 126 126 126 126 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:100, 1:2] 125 125 125 125 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:24, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:35, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:10, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 123 123 123 123 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:7, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:22, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:16, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:36, 1:2] 123 123 123 122 122 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:27, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> .. [list output truncated]
#> ..- attr(*, "class")= chr [1:3] "XY" "MULTIPOLYGON" "sfg"
#> - attr(*, "sf_column")= chr "geometry"
#> - attr(*, "agr")= Factor w/ 3 levels "constant","aggregate",..: NA NA NA NA NA NA NA NA NA NA ...
#> ..- attr(*, "names")= chr [1:25] "country_load" "name_formal" "name_wb" "iso2" ...
#> - attr(*, "unit")= chr "country"
#> - attr(*, "colID")= chr "country_code"
wr2 <- WR(data = popWR, colID = "country_code",
matchWith = "iso3_eh", res = "low",
add = ~I(male/total) + I(female/total),
new_var_names = c("Per_Male", "Per_Female"))
str(wr2)
#> Classes ‘sf’, ‘WR’, ‘WR’ and 'data.frame': 248 obs. of 26 variables:
#> $ country_load: chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ name_formal : chr "Republic of Indonesia" "Malaysia" "Republic of Chile" "Plurinational State of Bolivia" ...
#> $ name_wb : chr "Indonesia" "Malaysia" "Chile" "Bolivia" ...
#> $ iso2 : chr "ID" "MY" "CL" "BO" ...
#> $ iso3 : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ country_code: chr "idn" "mys" "chl" "bol" ...
#> $ iso3_numeric: chr "360" "458" "152" "068" ...
#> $ iso3_un : chr "360" "458" "152" "068" ...
#> $ iso2_wb : chr "ID" "MY" "CL" "BO" ...
#> $ iso3_wb : chr "IDN" "MYS" "CHL" "BOL" ...
#> $ continent : chr "Asia" "Asia" "South America" "South America" ...
#> $ region : chr "Asia" "Asia" "Americas" "Americas" ...
#> $ subregion : chr "South-Eastern Asia" "South-Eastern Asia" "South America" "South America" ...
#> $ region_wb : chr "East Asia & Pacific" "East Asia & Pacific" "Latin America & Caribbean" "Latin America & Caribbean" ...
#> $ type : chr "Sovereign country" "Sovereign country" "Sovereign country" "Sovereign country" ...
#> $ type_economy: chr "Emerging" "Developing" "Emerging" "Emerging" ...
#> $ type_income : chr "Lower middle income" "Upper middle income" "Upper middle income" "Lower middle income" ...
#> $ nato : logi FALSE FALSE FALSE FALSE FALSE FALSE ...
#> $ ocde : logi FALSE FALSE TRUE FALSE FALSE FALSE ...
#> $ country : Factor w/ 265 levels "","Afghanistan",..: 112 150 45 26 193 10 56 111 46 117 ...
#> $ total : num 2.68e+08 3.15e+07 1.87e+07 1.14e+07 3.20e+07 ...
#> $ male : num 1.35e+08 1.62e+07 9.23e+06 5.70e+06 1.59e+07 ...
#> $ female : num 1.33e+08 1.53e+07 9.50e+06 5.65e+06 1.61e+07 ...
#> $ Per_Male : 'AsIs' num 0.503561.... 0.514214.... 0.492729.... 0.502166.... 0.496622.... ...
#> $ Per_Female : 'AsIs' num 0.496438.... 0.485785.... 0.507270.... 0.497833.... 0.503377.... ...
#> $ geometry :sfc_MULTIPOLYGON of length 248; first list element: List of 178
#> ..$ :List of 1
#> .. ..$ : num [1:96, 1:2] 141 141 140 140 138 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 135 135 135 135 135 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 135 135 135 135 135 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 134 134 134 134 134 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 133 133 133 133 133 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 132 132 132 132 132 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 132 132 132 132 132 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 131 131 131 131 131 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 131 131 131 131 131 ...
#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 131 131 131 131 131 ...
#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
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#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:11, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 130 130 130 130 130 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 130 130 130 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 130 130 130 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 129 129 129 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 129 129 129 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 129 129 129 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 129 129 129 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:38, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 129 129 129 129 129 ...
#> ..$ :List of 1
#> .. ..$ : num [1:20, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:13, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 127 127 127 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:19, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 128 128 128 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:10, 1:2] 127 127 127 128 128 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 128 128 128 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:7, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:18, 1:2] 126 126 126 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:11, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 126 126 126 126 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 127 127 127 127 127 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:15, 1:2] 126 126 126 126 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:8, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 126 126 126 126 126 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:6, 1:2] 125 125 125 125 125 ...
#> ..$ :List of 1
#> .. ..$ : num [1:100, 1:2] 125 125 125 125 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:24, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:35, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:10, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:12, 1:2] 123 123 123 123 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:7, 1:2] 124 124 124 124 124 ...
#> ..$ :List of 1
#> .. ..$ : num [1:22, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:16, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:36, 1:2] 123 123 123 122 122 ...
#> ..$ :List of 1
#> .. ..$ : num [1:9, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:27, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> ..$ :List of 1
#> .. ..$ : num [1:5, 1:2] 123 123 123 123 123 ...
#> .. [list output truncated]
#> ..- attr(*, "class")= chr [1:3] "XY" "MULTIPOLYGON" "sfg"
#> - attr(*, "sf_column")= chr "geometry"
#> - attr(*, "agr")= Factor w/ 3 levels "constant","aggregate",..: NA NA NA NA NA NA NA NA NA NA ...
#> ..- attr(*, "names")= chr [1:25] "country_load" "name_formal" "name_wb" "iso2" ...
#> - attr(*, "unit")= chr "country"
#> - attr(*, "colID")= chr "country_code"