Import spatial data from disk.

read_spatial_data(x)

Arguments

x

character file path.

Value

A sf::st_sf() or raster::raster() object.

Details

This function imports data in vector format as a sf::st_sf() object. It also imports data in raster format as a raster::raster() object. Note that is will only import the first band in a multi-band raster dataset.

Examples

# read raster data
f1 <- system.file("external/rlogo.grd", package = "raster")
read_spatial_data(f1)
#> class      : RasterLayer 
#> band       : 1  (of  3  bands)
#> dimensions : 77, 101, 7777  (nrow, ncol, ncell)
#> resolution : 1, 1  (x, y)
#> extent     : 0, 101, 0, 77  (xmin, xmax, ymin, ymax)
#> crs        : +proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs 
#> source     : rlogo.grd 
#> names      : red 
#> values     : 0, 255  (min, max)
#> 

# read vector data
f2 <- system.file("shape/nc.shp", package = "sf")
read_spatial_data(f2)
#> 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
#> # A tibble: 100 x 15
#>     AREA PERIMETER CNTY_ CNTY_ID NAME  FIPS  FIPSNO CRESS_ID BIR74 SID74 NWBIR74
#>    <dbl>     <dbl> <dbl>   <dbl> <chr> <chr>  <dbl>    <int> <dbl> <dbl>   <dbl>
#>  1 0.114      1.44  1825    1825 Ashe  37009  37009        5  1091     1      10
#>  2 0.061      1.23  1827    1827 Alle~ 37005  37005        3   487     0      10
#>  3 0.143      1.63  1828    1828 Surry 37171  37171       86  3188     5     208
#>  4 0.07       2.97  1831    1831 Curr~ 37053  37053       27   508     1     123
#>  5 0.153      2.21  1832    1832 Nort~ 37131  37131       66  1421     9    1066
#>  6 0.097      1.67  1833    1833 Hert~ 37091  37091       46  1452     7     954
#>  7 0.062      1.55  1834    1834 Camd~ 37029  37029       15   286     0     115
#>  8 0.091      1.28  1835    1835 Gates 37073  37073       37   420     0     254
#>  9 0.118      1.42  1836    1836 Warr~ 37185  37185       93   968     4     748
#> 10 0.124      1.43  1837    1837 Stok~ 37169  37169       85  1612     1     160
#> # ... with 90 more rows, and 4 more variables: BIR79 <dbl>, SID79 <dbl>,
#> #   NWBIR79 <dbl>, geometry <MULTIPOLYGON [°]>